Triple

T34998802
Position Surface form Disambiguated ID Type / Status
Subject What’s This? E1009610 entity
Predicate screenwriterOfContainingFilm P182473 FINISHED
Object Caroline Thompson 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: Caroline Thompson | Statement: [What’s This?, screenwriterOfContainingFilm, Caroline Thompson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenwriterOfContainingFilm
Context triple: [What’s This?, screenwriterOfContainingFilm, Caroline Thompson]
  • A. screenwriterOfWorkAppearingIn
    Indicates that a person is the screenwriter of a work in which a specified entity (such as a character, actor, or role) appears.
  • B. screenwriterOfWorkAppearsIn
    Indicates that a person is the screenwriter of a work in which they themselves also appear.
  • C. screenwriterOfWorkFeaturing
    Indicates that one entity is the screenwriter responsible for creating the screenplay for a work in which the other entity appears or is featured.
  • D. screenwriterOfWork
    Indicates that a person served as the screenwriter (wrote the screenplay) for a particular creative work.
  • E. screenwriterOfWorkCreator
    Indicates that one entity is the screenwriter who created or wrote the screenplay for a particular work.
  • F. None of above. chosen

Provenance (4 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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dbf72648190a4971a558e9d1889 completed May 3, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
PDg Predicate description generation batch_69f78ce43094819093857fc99f269afe completed May 3, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:01 p.m.