Triple

T15752824
Position Surface form Disambiguated ID Type / Status
Subject David Levinson E381889 entity
Predicate workOfFictionMedium P16443 FINISHED
Object film LITERAL 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: film | Statement: [David Levinson, workOfFictionMedium, film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workOfFictionMedium
Context triple: [David Levinson, workOfFictionMedium, film]
  • A. fictionalMedium chosen
    Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
  • B. literatureType
    Indicates the specific category or genre of literature that characterizes or classifies a given work or text.
  • C. literaryGenreOfWork
    Indicates that a work belongs to or is classified under a particular literary genre.
  • D. workInFiction
    Indicates that one entity is a fictional work in which the other entity appears or is set.
  • E. hasFictionComponent
    Indicates that something includes, contains, or is composed in part of a fictional element or work.
  • F. None of above.

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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e0052c6208819098165d61d378d13b completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.