Triple

T15066733
Position Surface form Disambiguated ID Type / Status
Subject Raj Jain E379774 entity
Predicate knownFor P22 FINISHED
Object Jain’s fairness index
Jain’s fairness index is a widely used quantitative metric in networking and resource allocation that measures how evenly resources are shared among multiple users or flows.
E1134681 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jain’s fairness index | Statement: [Raj Jain, knownFor, Jain’s fairness index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jain’s fairness index
Context triple: [Raj Jain, knownFor, Jain’s fairness index]
  • A. On the Composition of Ratios
    On the Composition of Ratios is a mathematical treatise by Thabit ibn Qurra that develops and extends Greek theories of ratios and proportions within the framework of early Islamic mathematics.
  • B. Pareto efficiency
    Pareto efficiency is an economic concept describing an allocation of resources where no individual can be made better off without making someone else worse off.
  • C. Yao’s minimax principle
    Yao’s minimax principle is a fundamental result in computational complexity and randomized algorithms that relates the performance of randomized algorithms to the performance of deterministic algorithms against a worst-case input distribution.
  • D. Azuma–Hoeffding inequality
    The Azuma–Hoeffding inequality is a concentration inequality that bounds the probability of large deviations for martingales with bounded differences, generalizing Hoeffding’s inequality to dependent sequences.
  • E. Charikar
    Charikar is a city in northern Afghanistan that serves as the capital of Parwan Province and a key hub on the route between Kabul and the northern regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jain’s fairness index
Triple: [Raj Jain, knownFor, Jain’s fairness index]
Generated description
Jain’s fairness index is a widely used quantitative metric in networking and resource allocation that measures how evenly resources are shared among multiple users or flows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jain’s fairness index
Target entity description: Jain’s fairness index is a widely used quantitative metric in networking and resource allocation that measures how evenly resources are shared among multiple users or flows.
  • A. On the Composition of Ratios
    On the Composition of Ratios is a mathematical treatise by Thabit ibn Qurra that develops and extends Greek theories of ratios and proportions within the framework of early Islamic mathematics.
  • B. Pareto efficiency
    Pareto efficiency is an economic concept describing an allocation of resources where no individual can be made better off without making someone else worse off.
  • C. Yao’s minimax principle
    Yao’s minimax principle is a fundamental result in computational complexity and randomized algorithms that relates the performance of randomized algorithms to the performance of deterministic algorithms against a worst-case input distribution.
  • D. Azuma–Hoeffding inequality
    The Azuma–Hoeffding inequality is a concentration inequality that bounds the probability of large deviations for martingales with bounded differences, generalizing Hoeffding’s inequality to dependent sequences.
  • E. Charikar
    Charikar is a city in northern Afghanistan that serves as the capital of Parwan Province and a key hub on the route between Kabul and the northern regions.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeea750c819082d8823c9ab6c5a2 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cb04e88190a42bb0e516df61bc completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea66a04988190b483210c1671d287 completed May 9, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69fea70e2fbc81908f168925b06bdbd6 completed May 9, 2026, 3:16 a.m.
Created at: April 10, 2026, 3:02 a.m.