Triple

T9802635
Position Surface form Disambiguated ID Type / Status
Subject Michael Uslan E237877 entity
Predicate name P16 FINISHED
Object Michael Uslan E237877 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: Michael Uslan | Statement: [Michael Uslan, name, Michael Uslan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Uslan
Context triple: [Michael Uslan, name, Michael Uslan]
  • A. Michael Uslan chosen
    Michael Uslan is an American film producer and comic book historian best known as the executive producer of the Batman film franchise.
  • B. Ilya Salkind
    Ilya Salkind is a film producer best known for co-producing the 1970s Superman films and other major international productions.
  • C. Robert Kurtzman
    Robert Kurtzman is an American special effects artist, director, and screenwriter best known as a founding member of KNB EFX Group and for creating the original story for the film "From Dusk Till Dawn."
  • D. Michael C. Gross
    Michael C. Gross was an American film producer and art director best known for his work on the Ghostbusters franchise and other popular comedies of the 1980s and early 1990s.
  • E. Saul Zaentz
    Saul Zaentz was an American film producer and former record company executive best known for producing acclaimed films such as One Flew Over the Cuckoo’s Nest, Amadeus, and The English Patient.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44edac48190a44fdfb858d0dbba completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.