Triple

T10077252
Position Surface form Disambiguated ID Type / Status
Subject Larry Butler E213797 entity
Predicate givenName P17 FINISHED
Object Larry E475016 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: Larry | Statement: [Larry Butler, givenName, Larry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry
Context triple: [Larry Butler, givenName, Larry]
  • A. Larry
    Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
  • B. Larry
    Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
  • C. Larry
    Larry is the commonly used nickname of Lawrence Joseph Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • D. Larry
    Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
  • E. Larry chosen
    Larry is a common masculine given name, often a diminutive of Lawrence, used widely 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd02f47e08190bfeb641b202beecc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ad05bbc8190b103d66c9e786c86 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 8:59 p.m.