Triple

T3786748
Position Surface form Disambiguated ID Type / Status
Subject Dungeons & Dragons: Honor Among Thieves E85546 entity
Predicate editedBy P1954 FINISHED
Object Dan Lebental E170921 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: Dan Lebental | Statement: [Dungeons & Dragons: Honor Among Thieves, editedBy, Dan Lebental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Lebental
Context triple: [Dungeons & Dragons: Honor Among Thieves, editedBy, Dan Lebental]
  • A. Dan Lebental chosen
    Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
  • B. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • C. Dan Gershon
    Dan Gershon is known as the brother of American actress Gina Gershon.
  • D. Sam Levy
    Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
  • E. Leon Levy
    Leon Levy was an American investor, philanthropist, and patron of the humanities known for his significant support of archaeology, the arts, and biographical scholarship.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42d2bc88190ab85529fcd1aa20a completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be921df91881909c257fbd3c46073c completed March 21, 2026, 12:42 p.m.
Created at: March 9, 2026, 3:13 p.m.