Triple

T6714957
Position Surface form Disambiguated ID Type / Status
Subject Andre Harrell E153243 entity
Predicate givenName P17 FINISHED
Object Andre E289051 NE FINISHED

How this triple was built (2 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: Andre | Statement: [Andre Harrell, givenName, Andre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andre
Context triple: [Andre Harrell, givenName, Andre]
  • A. Andre chosen
    Andre is the given name of Andre Reed, a former American football wide receiver best known for his long career with the Buffalo Bills in the NFL.
  • B. Anthony
    Anthony is a masculine given name of Latin origin, commonly used in English-speaking countries.
  • C. Andy
    Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
  • D. Andy
    Andy is the central protagonist of the British film "Life Is Sweet," around whom the story’s domestic and emotional themes revolve.
  • E. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70afa805c819098312fc0d06ec115 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:07 p.m.