Triple

T13310513
Position Surface form Disambiguated ID Type / Status
Subject James Marsh E317048 entity
Predicate directed P7373 FINISHED
Object Shadow Dancer E1009249 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: Shadow Dancer | Statement: [James Marsh, directed, Shadow Dancer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadow Dancer
Context triple: [James Marsh, directed, 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. Shadow Dancing
    "Shadow Dancing" is a 1978 disco-pop hit single by Andy Gibb that became one of his most successful and recognizable songs.
  • C. Shadow Dance
    "Shadow Dance" is a dark, surreal 1966 novel by Angela Carter that blends gothic elements with psychological exploration and experimental prose.
  • D. 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.
  • E. From the Shadows
    From the Shadows is a memoir by Robert M. Gates recounting his decades of service in U.S. intelligence and national security, particularly within the CIA and the White House.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f56abc8190951774a999e2ce11 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2810a881908b1ed0cc4fb9ac12 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:29 p.m.