Triple

T15330024
Position Surface form Disambiguated ID Type / Status
Subject Anastasia E366508 entity
Predicate producer P490 FINISHED
Object Amy Pell E554037 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: Amy Pell | Statement: [Anastasia, producer, Amy Pell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Pell
Context triple: [Anastasia, producer, Amy Pell]
  • A. Amy Pell chosen
    Amy Pell is a film producer best known for her work on the animated musical feature "Anastasia" (1997).
  • B. Amy Townsend
    Amy Townsend is the hard-partying, commitment-averse magazine writer at the center of the romantic comedy film "Trainwreck."
  • C. Amy Dromey
    Amy Dromey is the daughter of British Labour politician Harriet Harman and trade unionist Jack Dromey.
  • D. Amy Jolly
    Amy Jolly is the enigmatic nightclub singer portrayed by Marlene Dietrich in the 1930 romantic drama film "Morocco."
  • E. Anna Beth Sully
    Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.