Triple

T20427058
Position Surface form Disambiguated ID Type / Status
Subject Dickon Hinchliffe E501032 entity
Predicate notableWork P4 FINISHED
Object Shadow Dancer NE NERFINISHED

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: Shadow Dancer | Statement: [Dickon Hinchliffe, notableWork, Shadow Dancer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadow Dancer
Context triple: [Dickon Hinchliffe, notableWork, Shadow Dancer]
  • A. Shadow Dancer chosen
    Shadow Dancer is a 2012 political thriller film set in Northern Ireland, following an IRA member turned informant as she navigates perilous loyalties and family ties.
  • B. Shadowdance
    Shadowdance is a fantasy novel by New Zealand author Kelly Hale, known for its imaginative storytelling and connection to the Doctor Who universe.
  • C. Shadow Dancing
    "Shadow Dancing" is a 1978 disco-pop hit single by Andy Gibb that became one of his most successful and recognizable songs.
  • D. Shadow Dance
    "Shadow Dance" is a dark, surreal 1966 novel by Angela Carter that blends gothic elements with psychological exploration and experimental prose.
  • E. The Shadow Waltz
    "The Shadow Waltz" is a memorable musical number from the 1933 Warner Bros. film *Gold Diggers of 1933*, noted for its elaborate choreography and use of neon-lit violins.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba9700481909fa23493f98095d1 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.