Triple

T14173415
Position Surface form Disambiguated ID Type / Status
Subject Ward Abbott E351268 entity
Predicate filmCharacterBasedOn P66482 FINISHED
Object characters from Robert Ludlum's Bourne novels 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: characters from Robert Ludlum's Bourne novels | Statement: [Ward Abbott, filmCharacterBasedOn, characters from Robert Ludlum's Bourne novels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmCharacterBasedOn
Context triple: [Ward Abbott, filmCharacterBasedOn, characters from Robert Ludlum's Bourne novels]
  • A. featuresCharactersFrom
    Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
  • B. characterBasedOn
    Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
  • C. filmCharacterVersionOf chosen
    Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
  • D. characterIn
    Indicates that an entity appears as a character within a specified work, story, or narrative.
  • E. fictionalCharacterAssociatedWith
    Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:01 a.m.