Triple

T23468302
Position Surface form Disambiguated ID Type / Status
Subject Julia Roberts E569154 entity
Predicate spouse P13 FINISHED
Object Daniel Moder 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: Daniel Moder | Statement: [Julia Roberts, spouse, Daniel Moder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Moder
Context triple: [Julia Roberts, spouse, Daniel Moder]
  • A. Daniel Moder chosen
    Daniel Moder is an American cinematographer best known for his work on films such as "Secret in Their Eyes" and "The Mexican."
  • B. Dan Janvey
    Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
  • C. Kurt Danielson
    Kurt Danielson is an American bassist best known for his work in the Seattle grunge band Tad during the late 1980s and early 1990s.
  • D. David Schisgall
    David Schisgall is an American screenwriter and filmmaker known for his work on both narrative features and documentaries, including co-writing the comedy film "Our Idiot Brother."
  • E. Joel Stransky
    Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6fd280c81908aae05f0851466eb completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.