Triple

T13297038
Position Surface form Disambiguated ID Type / Status
Subject Luke Wilson E316711 entity
Predicate sibling P363 FINISHED
Object Andrew Wilson E365676 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: Andrew Wilson | Statement: [Luke Wilson, sibling, Andrew Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Wilson
Context triple: [Luke Wilson, sibling, Andrew Wilson]
  • A. Andrew Wilson chosen
    Andrew Wilson is an American actor and director, and the eldest of the Wilson brothers known for their work in films such as "Bottle Rocket" and "The Royal Tenenbaums."
  • B. Jon Wright
    Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
  • C. Sam Winder
    Sam Winder is a person notable enough to be specifically recorded as a bearer of the surname Winder.
  • D. John Hull
    John Hull was a prominent 17th-century Boston merchant, silversmith, and colonial official best known for serving as the Massachusetts Bay Colony’s mintmaster.
  • E. Stephen Neale
    Stephen Neale is the protagonist of Graham Greene’s wartime thriller novel "The Ministry of Fear," a man entangled in espionage and paranoia in World War II London.
  • 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_69d990a2f2708190a8f2aa7e7c0b92d2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dad3648190bf360955fbdfb2f0 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.