Triple

T15636634
Position Surface form Disambiguated ID Type / Status
Subject Mrs. Mott E375960 entity
Predicate filmWriterOfWork P64760 FINISHED
Object Amanda Silver E224765 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: Amanda Silver | Statement: [Mrs. Mott, filmWriterOfWork, Amanda Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Silver
Context triple: [Mrs. Mott, filmWriterOfWork, Amanda Silver]
  • A. Amanda Silver chosen
    Amanda Silver is an American screenwriter and producer best known for co-writing major blockbuster films such as Jurassic World and the Avatar sequels.
  • B. Julie Corman
    Julie Corman is an American film producer known for her work on low-budget genre films and for collaborating on numerous projects associated with the New World Pictures legacy.
  • C. Diane Mostow
    Diane Mostow is a writer known for her work on the television series "Breakdown."
  • D. Nina Jacobson
    Nina Jacobson is an American film and television producer best known as the founder of Color Force and for producing major franchises such as "The Hunger Games."
  • E. Leslie Dixon
    Leslie Dixon is an American screenwriter and producer known for writing popular films such as "Mrs. Doubtfire," "Freaky Friday," and "Hairspray."
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eba51f08190ac5d9de7fc89405a completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678ebe288190bd43a72e99e7aa22 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.