Triple

T16684352
Position Surface form Disambiguated ID Type / Status
Subject Erica Kane E405419 entity
Predicate spouse P13 FINISHED
Object Jeff Martin E897011 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: Jeff Martin | Statement: [Erica Kane, spouse, Jeff Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Martin
Context triple: [Erica Kane, spouse, Jeff Martin]
  • A. Jeff Martin chosen
    Jeff Martin is a fictional character from the long-running American soap opera "All My Children."
  • B. Gregory Martin
    Gregory Martin was a 16th-century English Catholic scholar and priest best known for producing the first complete English translation of the Bible from the Latin Vulgate, which became the Douay–Rheims Bible.
  • C. Dave Guy
    Dave Guy is an American trumpet player best known for his work with the hip-hop band The Roots and as a prominent session and touring musician.
  • D. Keith Lockhart
    Keith Lockhart is an American conductor best known for his long tenure leading the Boston Pops Orchestra and his frequent appearances on nationally televised concerts.
  • E. Brian McCardie
    Brian McCardie is a Scottish actor known for his work in film, television, and theatre, including roles in productions such as the historical drama "Rob Roy."
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d71a66881908c8d06cc074fdf29 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a422f8c8190873fd7089df8fbd4 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.