Triple

T2737992
Position Surface form Disambiguated ID Type / Status
Subject Katharine Towne E60675 entity
Predicate notableWork P4 FINISHED
Object She's All That E169652 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: She's All That | Statement: [Katharine Towne, notableWork, She's All That]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: She's All That
Context triple: [Katharine Towne, notableWork, She's All That]
  • A. She's All That chosen
    "She's All That" is a 1999 teen romantic comedy film about a high school jock who bets he can transform an unpopular girl into the prom queen.
  • B. What a Girl Wants
    "What a Girl Wants" is a pop and R&B song by Christina Aguilera that became one of her early signature hits around the turn of the millennium.
  • C. Footloose
    Footloose is a 1984 American musical drama film, starring Kevin Bacon, about a teenager who challenges a small town’s ban on dancing.
  • D. Bend It Like Beckham
    Bend It Like Beckham is a 2002 British comedy-drama film about a young British-Indian woman pursuing her passion for football despite her traditional family's expectations.
  • E. That Thing You Do!
    That Thing You Do! is a 1996 musical comedy-drama film, written and directed by Tom Hanks, about the rapid rise and fall of a fictional 1960s pop band.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb147a588190829b74fe05b3a114 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a5dda0819092508b9e10030d09 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.