Triple

T4440722
Position Surface form Disambiguated ID Type / Status
Subject Son of God (2014 film) E95763 entity
Predicate writer P1360 FINISHED
Object Christopher Spencer E439192 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: Christopher Spencer | Statement: [Son of God (2014 film), writer, Christopher Spencer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Spencer
Context triple: [Son of God (2014 film), writer, Christopher Spencer]
  • A. Christopher Spencer chosen
    Christopher Spencer is a British film and television director and writer known for his work on historical and religious dramas, including the 2014 film "Son of God."
  • B. Michael Lockwood
    Michael Lockwood is an American guitarist and music producer best known for his long-time work with and marriage to Lisa Marie Presley.
  • C. Christopher Fettes
    Christopher Fettes is a theatre educator and director best known as the co-founder of Drama Centre London, an influential British drama school.
  • D. Christopher Gunning
    Christopher Gunning was a British composer best known for his film and television scores, including the iconic theme for the detective series "Poirot."
  • E. Christopher Browne
    Christopher Browne is a screenwriter known for his work on the biographical drama film "The Walk."
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.