Triple

T21898121
Position Surface form Disambiguated ID Type / Status
Subject Judgment E540733 entity
Predicate writer P1360 FINISHED
Object Tom Topor 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: Tom Topor | Statement: [Judgment, writer, Tom Topor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Topor
Context triple: [Judgment, writer, Tom Topor]
  • A. Tom Topor chosen
    Tom Topor is an American screenwriter and playwright best known for his work on the acclaimed courtroom drama film "The Accused."
  • B. Roland Topor
    Roland Topor was a French illustrator, writer, actor, and filmmaker known for his darkly surreal humor and contributions to avant-garde art and cinema.
  • C. Jean Topart
    Jean Topart was a French actor and voice artist known for his work in film, television, and dubbing, including prominent roles in French cinema and animation.
  • D. Tony Borowiak
    Tony Borowiak is an American R&B singer best known as a vocalist in the Grammy-winning vocal group All-4-One.
  • E. Johannes Bobrowski
    Johannes Bobrowski was a 20th-century German poet and writer known for his lyrical explorations of history, memory, and the landscapes and cultures of Eastern Europe.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc7c70c81908b9bb4de68616e41 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.