Triple

T21946042
Position Surface form Disambiguated ID Type / Status
Subject William Cutting E541935 entity
Predicate enemyOf P437 FINISHED
Object Amsterdam Vallon 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: Amsterdam Vallon | Statement: [William Cutting, enemyOf, Amsterdam Vallon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amsterdam Vallon
Context triple: [William Cutting, enemyOf, Amsterdam Vallon]
  • A. Amsterdam Vallon chosen
    Amsterdam Vallon is the fictional Irish-American protagonist of Martin Scorsese’s film "Gangs of New York," who seeks revenge against the gang leader who killed his father.
  • B. Soesterberg
    Soesterberg is a village in the Dutch province of Utrecht known for its historic military air base and long-standing association with the Royal Netherlands Air Force.
  • C. Muiderberg
    Muiderberg is a small Dutch village in North Holland, known for its location on the shores of the IJmeer and its historic Jewish cemetery.
  • D. Marsdijk
    Marsdijk is a residential district of the city of Assen in the province of Drenthe, Netherlands.
  • E. Blaricum
    Blaricum is a small, affluent village in the Dutch province of North Holland, known for its historic farmhouses, green surroundings, and popularity as a residential area for the wealthy.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.