Triple

T10189614
Position Surface form Disambiguated ID Type / Status
Subject Luke Foxe E237997 entity
Predicate givenName P17 FINISHED
Object Luke E31566 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: Luke | Statement: [Luke Foxe, givenName, Luke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke
Context triple: [Luke Foxe, givenName, Luke]
  • A. Luke
    Luke is a character portrayed by Chiwetel Ejiofor in the romantic comedy film "Love Actually."
  • B. Luke
    Luke is a small town located in Allegany County, Maryland, known historically for its paper mill industry.
  • C. Luke
    Luke is a fictional character associated with mosquitoes, likely appearing in a story or media where he interacts with or is defined by these insects.
  • D. Luke chosen
    Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
  • E. Luke
    Luke is a central character in James Baldwin’s play "The Amen Corner," serving as the estranged husband whose return forces the protagonist and her church community to confront painful truths about faith, family, and hypocrisy.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7d6fdc81908052866495b6574f completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317b734a4819085645caea8ba0481 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.