Triple

T10513619
Position Surface form Disambiguated ID Type / Status
Subject Tracey Seaward E247976 entity
Predicate produced P490 FINISHED
Object The Queen E49499 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: The Queen | Statement: [Tracey Seaward, produced, The Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Queen
Context triple: [Tracey Seaward, produced, The Queen]
  • A. The Queen chosen
    The Queen is a 2006 British drama film directed by Stephen Frears that portrays the British royal family's response to the death of Princess Diana, featuring a celebrated score by Alexandre Desplat.
  • B. The Queen
    "The Queen" is one of the love poems by Chilean Nobel laureate Pablo Neruda, included in his influential 1924 collection *Twenty Love Poems and a Song of Despair*.
  • C. The Queen
    The Queen is a 1968 American documentary-style film that offers an inside look at a national drag beauty pageant and early drag ball culture in New York City.
  • D. The Queen
    The Queen is the regal ant monarch and mother of Princess Atta in Pixar's animated film "A Bug's Life."
  • E. Even the Queen
    "Even the Queen" is a Hugo Award–winning science fiction short story by Connie Willis that satirically explores feminism, bodily autonomy, and generational conflict in a future where menstruation has been medically eliminated.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cade0c81908fcbd54a90106bf9 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9882acd348190ae3ab2f17c834aef completed April 10, 2026, 11:30 p.m.
Created at: April 6, 2026, 12:27 p.m.