Triple

T11020700
Position Surface form Disambiguated ID Type / Status
Subject Statesman E260479 entity
Predicate hasMember P10 FINISHED
Object Agent Whiskey E367711 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: Agent Whiskey | Statement: [Statesman, hasMember, Agent Whiskey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agent Whiskey
Context triple: [Statesman, hasMember, Agent Whiskey]
  • A. Agent Whiskey chosen
    Agent Whiskey is a suave, lasso-wielding Statesman secret agent from the film "Kingsman: The Golden Circle," portrayed by Pedro Pascal.
  • B. The Witch
    The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
  • C. The Witch
    The Witch is a central, morally complex sorceress in the musical fantasy "Into the Woods," known for driving the plot through her curses, bargains, and eventual transformation.
  • D. The Witch
    The Witch is a mysterious, prophetic figure in the film "Big Fish" who reveals to the protagonist how he will die, profoundly shaping his fearless approach to life.
  • E. The Witch
    "The Witch" is a short horror-tinged story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that unsettlingly explores childhood, strangers, and menace in an everyday 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797baad408190a53fd6941a750f68 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374f64b3c8190b0b55193f81d3bc5 completed April 18, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:25 p.m.