Triple

T16684358
Position Surface form Disambiguated ID Type / Status
Subject Erica Kane E405419 entity
Predicate spouse P13 FINISHED
Object Jackson Montgomery E1217464 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: Jackson Montgomery | Statement: [Erica Kane, spouse, Jackson Montgomery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackson Montgomery
Context triple: [Erica Kane, spouse, Jackson Montgomery]
  • A. Jackson Montgomery chosen
    Jackson Montgomery is a fictional attorney and long-running character on the soap opera "All My Children."
  • B. Nate Mooney
    Nate Mooney is an American character actor known for his offbeat supporting roles in television series such as "It's Always Sunny in Philadelphia" and various film and TV dramas.
  • C. Brandon Boyce
    Brandon Boyce is an American screenwriter and actor best known for adapting Stephen King’s "Apt Pupil" and writing films such as "Wicker Park."
  • D. Zack Brown
    Zack Brown is one of the two main protagonists in the romantic comedy film "Zack and Miri Make a Porno," where he and his friend Miri decide to make an adult film to solve their financial problems.
  • E. Luke James
    Luke James is an American R&B singer, songwriter, and actor known for his soulful vocals and roles in film and television.
  • 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.