Triple

T13602814
Position Surface form Disambiguated ID Type / Status
Subject The Two Popes E324985 entity
Predicate producer P490 FINISHED
Object Dan Lin E83863 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 Lin | Statement: [The Two Popes, producer, Dan Lin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Lin
Context triple: [The Two Popes, producer, Dan Lin]
  • A. Dan Lin chosen
    Dan Lin is a Taiwanese-American film producer and executive known for overseeing major franchises such as The Lego Movie series and various DC and Sherlock Holmes films.
  • B. Allan Lee
    Allan Lee is a film editor best known for his work on projects such as "Doctor Who: The Movie."
  • C. Andrew Adamson
    Andrew Adamson is a New Zealand film director and screenwriter best known for co-directing the first two Shrek films and directing several adaptations in The Chronicles of Narnia series.
  • D. Greg Yaitanes
    Greg Yaitanes is an American television director and producer known for his work on high-profile series such as House of the Dragon and House.
  • E. Matthew Hannam
    Matthew Hannam is a Canadian film and television editor known for his work on acclaimed independent films and series.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f92224c8190b66adef1291cd47f completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.