Triple

T16269446
Position Surface form Disambiguated ID Type / Status
Subject Jay Beckenstein E394959 entity
Predicate givenName P17 FINISHED
Object Jay
Jay is a masculine given name commonly used in English-speaking countries, often as a short form of names like Jason or James or as a standalone name.
 E567228 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: Jay | Statement: [Jay Beckenstein, givenName, Jay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jay
Context triple: [Jay Beckenstein, givenName, Jay]
  • A. Jay
    Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
  • B. Jay
    Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
  • C. Jay
    Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
  • D. Jay
    Jay is a foul-mouthed, slacker stoner character from Kevin Smith’s View Askewniverse, best known as one half of the comedic duo Jay and Silent Bob.
  • E. Jay
    Jay is the given name of Whittaker Chambers, the American writer and former Soviet spy best known for his role in the Alger Hiss case.
  • 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: Jay
Triple: [Jay Beckenstein, givenName, Jay]
Generated description
Jay is a masculine given name commonly used in English-speaking countries, often as a short form of names like Jason or James or as a standalone name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jay
Target entity description: Jay is a masculine given name commonly used in English-speaking countries, often as a short form of names like Jason or James or as a standalone name.
  • A. Jay chosen
    Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
  • B. Jay
    Jay is the given name of Whittaker Chambers, the American writer and former Soviet spy best known for his role in the Alger Hiss case.
  • C. Jay
    Jay is the given first name of J. B. Pritzker, the American businessman, philanthropist, and governor of Illinois.
  • D. Jay
    Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
  • E. Jay
    Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
  • F. None of above.

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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24608dd20819082f46a64af233038 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bceb3881909dbd3167820ef199 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00184a16e0819089dffbe23b88bdb3 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.