Triple

T5965208
Position Surface form Disambiguated ID Type / Status
Subject Peggy E132734 entity
Predicate etymologicalRelation P2530 FINISHED
Object Marg
Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
E558338 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: Marg | Statement: [Peggy, etymologicalRelation, Marg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marg
Context triple: [Peggy, etymologicalRelation, Marg]
  • A. Margi
    Margi are an ethnic group native to northeastern Nigeria, particularly in and around Adamawa State, known for their distinct language and cultural traditions.
  • B. Mal
    Mal is a common shortened form of the given name Malcolm.
  • C. Ma
    Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
  • D. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • E. Mel
    Mel is a common diminutive form of the given name Carmelo.
  • 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: Marg
Triple: [Peggy, etymologicalRelation, Marg]
Generated description
Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marg
Target entity description: Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
  • A. Margi
    Margi are an ethnic group native to northeastern Nigeria, particularly in and around Adamawa State, known for their distinct language and cultural traditions.
  • B. Mal
    Mal is a common shortened form of the given name Malcolm.
  • C. Ma
    Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
  • D. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • E. Mel
    Mel is a common diminutive form of the given name Carmelo.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3ca1dc819098cde8ae5ec1d845 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3f917c881909c4f780937c5fa7b completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e8de4f0c81908e8c67b858cdd066 completed March 23, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0e9416ba88190adb835b2ab9630ed completed March 23, 2026, 7:18 a.m.
Created at: March 22, 2026, 4:03 p.m.