Triple

T15992049
Position Surface form Disambiguated ID Type / Status
Subject Roger Allam E387855 entity
Predicate appearedIn P795 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: [Roger Allam, appearedIn, The Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Queen
Context triple: [Roger Allam, appearedIn, 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 the regal ant monarch and mother of Princess Atta in Pixar's animated film "A Bug's Life."
  • C. 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*.
  • D. The Queen
    The Queen is the regal in-ring persona of WWE superstar Charlotte Flair, emphasizing her dominance and royal stature in professional wrestling.
  • E. The Queen
    The Queen is the second studio album by American rapper Lil' Kim, known for its bold lyrics, high-profile collaborations, and influential role in late-1990s hip hop.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.