Triple

T17180483
Position Surface form Disambiguated ID Type / Status
Subject Tim Orr E416967 entity
Predicate notableWork P4 FINISHED
Object All the Real Girls E855304 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: All the Real Girls | Statement: [Tim Orr, notableWork, All the Real Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All the Real Girls
Context triple: [Tim Orr, notableWork, All the Real Girls]
  • A. All the Real Girls chosen
    All the Real Girls is a 2003 independent romantic drama film written and directed by David Gordon Green that explores a fragile small-town relationship with a naturalistic, character-driven style.
  • B. All the Nice Girls
    All the Nice Girls is a book by Baroness Joan Bakewell that explores the lives, ambitions, and social constraints of women in mid-20th-century Britain.
  • C. To All the Girls
    "To All the Girls" is a song featured on Wyclef Jean's 1997 debut solo album, The Carnival, blending hip hop with Caribbean-influenced sounds.
  • D. For the Girls
    For the Girls is a studio album by Kristin Chenoweth that pays tribute to iconic female singers and their classic songs.
  • E. Very Good Girls
    Very Good Girls is a 2013 coming-of-age drama film about two best friends whose bond is tested when they fall for the same young man.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc10afb48190a71f4a46f0280a14 completed April 18, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014847a19481909b1249c2fe428bfc completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.