Triple

T15472398
Position Surface form Disambiguated ID Type / Status
Subject Leslie Bibb E376694 entity
Predicate notableWork P4 FINISHED
Object Popular E621435 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: Popular | Statement: [Leslie Bibb, notableWork, Popular]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Popular
Context triple: [Leslie Bibb, notableWork, Popular]
  • A. Popular chosen
    Popular is an American teen comedy-drama television series that aired on The WB from 1999 to 2001, focusing on the social clashes between high school cliques.
  • B. Popular
    "Popular" is a comedic, character-driven show tune from the Broadway musical Wicked, written by Stephen Schwartz and performed by the character Glinda as she attempts to give Elphaba a makeover and social advice.
  • C. Populares
    The Populares were a political faction in the late Roman Republic that sought popular support through reforms favoring the common people and challenging the power of the senatorial elite.
  • D. POP
    POP (Post Office Protocol) is a standard email protocol used by mail clients to retrieve messages from a remote server, typically downloading them for offline access.
  • E. Pop
    Pop is an American cable television network known for airing entertainment programming including reruns, original series, and special events.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d075e64819097061ef4c205577e completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.