Triple

T5214260
Position Surface form Disambiguated ID Type / Status
Subject Leonard McCoy E117710 entity
Predicate givenName P17 FINISHED
Object Leonard E53541 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: Leonard | Statement: [Leonard McCoy, givenName, Leonard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard
Context triple: [Leonard McCoy, givenName, Leonard]
  • A. Leonard chosen
    Leonard is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by numerous notable figures in arts, sports, and public life.
  • B. Laurence
    Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
  • C. Léonard
    Léonard is a given name and surname used in French-speaking contexts, corresponding to the name Leonhard or Leonard.
  • D. Lenny
    Lenny is a 1974 American biographical drama film about controversial comedian Lenny Bruce, directed by Bob Fosse and starring Dustin Hoffman.
  • E. Lenny
    "Lenny" is a 2001 rock album by American musician Lenny Kravitz, showcasing his blend of classic rock, funk, and soul influences.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a911d40819086621537274dc0f0 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefe325988190b35e3502f147c9c2 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:47 p.m.