Triple

T12613106
Position Surface form Disambiguated ID Type / Status
Subject The Gangster E301178 entity
Predicate screenwriter P2831 FINISHED
Object Daniel Fuchs E370687 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: Daniel Fuchs | Statement: [The Gangster, screenwriter, Daniel Fuchs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Fuchs
Context triple: [The Gangster, screenwriter, Daniel Fuchs]
  • A. Daniel Fuchs chosen
    Daniel Fuchs was an American novelist and screenwriter known for his Brooklyn-set fiction and acclaimed Hollywood screenplays, including several classic film noirs.
  • B. Thomas Fuchs
    Thomas Fuchs is a German computer scientist and software developer best known for creating the JavaScript libraries script.aculo.us and contributing to Prototype.
  • C. Peter Fuchs
    Peter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically distinguished among its bearers.
  • D. Christian Fuchs
    Christian Fuchs is an Austrian former professional footballer best known as a left-back for clubs such as Schalke 04 and Leicester City, with whom he won the 2015–16 Premier League title.
  • E. Daniel Hartmann
    Daniel Hartmann is a German local politician who serves as the mayor of the town of Höxter in North Rhine-Westphalia.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c2e5b88190a7cc16002b218d8a completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6f8e9881908f350aa3cefef269 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:12 p.m.