Triple

T507477
Position Surface form Disambiguated ID Type / Status
Subject Albert E10531 entity
Predicate hasDiminutive P456 FINISHED
Object Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
E63325 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: Al | Statement: [Albert, hasDiminutive, Al]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al
Context triple: [Albert, hasDiminutive, Al]
  • A. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • B. Alpha
    Alpha is the first letter of the Greek alphabet, often symbolizing beginnings, primacy, or the starting point in various contexts.
  • C. Alpha
    Alpha is Sony’s line of interchangeable-lens mirrorless and DSLR-style digital cameras aimed at photography enthusiasts and professionals.
  • D. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • E. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • 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: Al
Triple: [Albert, hasDiminutive, Al]
Generated description
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al
Target entity description: Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • A. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • B. Alpha
    Alpha is the first letter of the Greek alphabet, often symbolizing beginnings, primacy, or the starting point in various contexts.
  • C. Alpha
    Alpha is Sony’s line of interchangeable-lens mirrorless and DSLR-style digital cameras aimed at photography enthusiasts and professionals.
  • D. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • E. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14dcd688190ad47a3b31b95b6d4 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a498506418819090190a35e8763982 completed March 1, 2026, 7:49 p.m.
NEDg Description generation batch_69a499da231c8190abd973d9ac3969ff completed March 1, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69a49b0045b481908f5e863d61b7e17e completed March 1, 2026, 8:01 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.