Triple

T14854059
Position Surface form Disambiguated ID Type / Status
Subject Michelle Grace E349304 entity
Predicate notableWork P4 FINISHED
Object Take the Lead E1031100 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: Take the Lead | Statement: [Michelle Grace, notableWork, Take the Lead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take the Lead
Context triple: [Michelle Grace, notableWork, Take the Lead]
  • A. Take the Lead chosen
    Take the Lead is a 2006 dance drama film inspired by the true story of a ballroom dancer who volunteers to teach inner-city high school students, blending classical ballroom with hip-hop.
  • B. Lead the Way
    "Lead the Way" is a song by Mariah Carey from her 2001 album *Glitter*, showcasing her powerful vocal range in an R&B ballad style.
  • C. Where You Lead
    "Where You Lead" is a song by Carole King, best known from her 1971 album Tapestry and later as the theme for the television series Gilmore Girls.
  • D. Get the Lead Out
    "Get the Lead Out" is a hard rock song by the American band Aerosmith from their 1976 album "Rocks."
  • E. Lead Me
    "Lead Me" is a song by the American alternative rock band The Dandy Warhols from their 2005 album *Blame the Vain*.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6506ace48190819504b93f575660 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.