Triple

T6079975
Position Surface form Disambiguated ID Type / Status
Subject Anna Paquin E135496 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: [Anna Paquin, 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: [Anna Paquin, 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. 10 Things I Hate About You
    10 Things I Hate About You is a 1999 teen romantic comedy film loosely based on Shakespeare’s "The Taming of the Shrew," set in an American high school.
  • 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. High School Musical
    High School Musical is a popular Disney Channel musical film franchise that follows the lives, relationships, and performances of high school students at East High.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0577209b88190afe5b1365cf6436d completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d4dc7ec8190baeede11ac27e229 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.