Triple

T16904994
Position Surface form Disambiguated ID Type / Status
Subject Steffy Forrester E424537 entity
Predicate fictionalSpouse P30304 FINISHED
Object John "Finn" Finnegan E1240037 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: John "Finn" Finnegan | Statement: [Steffy Forrester, fictionalSpouse, John "Finn" Finnegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John "Finn" Finnegan
Context triple: [Steffy Forrester, fictionalSpouse, John "Finn" Finnegan]
  • A. John "Finn" Finnegan chosen
    John "Finn" Finnegan is a fictional doctor and love interest on the soap opera "The Bold and the Beautiful."
  • B. Randy Monaghan
    Randy Monaghan is a fictional character from the 1942 drama film "Kings Row," which explores the hidden scandals and moral complexities of a small American town.
  • C. Jack O'Conner
    Jack O'Conner is a minor character in the Fast & Furious film franchise, known as the young son of protagonist Brian O'Conner and Mia Toretto.
  • D. Jack Doolan
    Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
  • E. Freddie O’Connell
    Freddie O’Connell is an American politician who serves as the mayor of Nashville, Tennessee.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8df454c8190898ebdd75985e51c completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcedb58819087c31200c01f40b7 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.