Triple

T23443723
Position Surface form Disambiguated ID Type / Status
Subject Bobby Lee E565474 entity
Predicate film P9968 FINISHED
Object Paul — NE NERFINISHED

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: Paul | Statement: [Bobby Lee, film, Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul
Context triple: [Bobby Lee, film, Paul]
  • A. Paul
    Paul is a laid-back, charming sperm donor whose unexpected involvement with his biological children disrupts a lesbian couple’s family dynamic in the film "The Kids Are All Right."
  • B. Paul chosen
    Paul is a character from the film "Nobody’s Business," contributing to the story’s exploration of personal and family relationships.
  • C. Paul
    Paul is the tormented protagonist of Erich Wolfgang Korngold’s opera "Die tote Stadt," struggling with grief and obsession over his dead wife in the decaying city of Bruges.
  • D. Paul
    Paul is a character in the film "Her," known as Theodore Twombly’s supportive and easygoing close friend.
  • E. Paul
    Paul is the introspective, emotionally vulnerable narrator and protagonist of Julian Barnes’s novel "The Only Story," whose lifelong love affair shapes the book’s exploration of memory and regret.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.