Triple

T13369812
Position Surface form Disambiguated ID Type / Status
Subject City of Ember E319031 entity
Predicate producer P490 FINISHED
Object Gary Goetzman E202614 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: Gary Goetzman | Statement: [City of Ember, producer, Gary Goetzman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Goetzman
Context triple: [City of Ember, producer, Gary Goetzman]
  • A. Gary Goetzman chosen
    Gary Goetzman is an American film and television producer and longtime Tom Hanks collaborator, known for co-founding the production company Playtone and producing acclaimed projects across comedy, drama, and historical genres.
  • B. William Goetz
    William Goetz was an American film producer and studio executive who co-founded International Pictures and later served as president of Universal-International during Hollywood’s studio era.
  • C. Jack Groetzinger
    Jack Groetzinger is an American entrepreneur best known as a co-founder of the mobile-focused ticket marketplace SeatGeek.
  • D. Pete Gillen
    Pete Gillen is an American college basketball coach best known for successful tenures at Xavier, Providence, and Virginia, where he led multiple NCAA Tournament runs.
  • E. Daniel Gogel
    Daniel Gogel is an architect known for designing the Staatsbibliothek zu Berlin (Berlin State Library), one of Germany’s most significant cultural and research institutions.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.