Triple

T10211472
Position Surface form Disambiguated ID Type / Status
Subject Rogue Lawyer E242337 entity
Predicate followedBy P78 FINISHED
Object The Whistler E242338 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 Whistler | Statement: [Rogue Lawyer, followedBy, The Whistler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Whistler
Context triple: [Rogue Lawyer, followedBy, The Whistler]
  • A. The Whistler chosen
    The Whistler is a legal thriller novel by John Grisham that follows an investigation into judicial corruption and organized crime in Florida.
  • B. The Secret of the Whistler
    The Secret of the Whistler is a 1946 American film noir mystery in the "Whistler" series, centered on murder, deception, and a scheming husband whose plans unravel in unexpected ways.
  • C. The Woods
    The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
  • D. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • E. The Whitaker
    The Whitaker is a museum and art gallery in Rawtenstall, Lancashire, showcasing local history, contemporary exhibitions, and community events within a historic house and park setting.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa22071c819095febd18dd607978 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652d8088c819084040883f2ab9dc6 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:01 a.m.