Triple

T15630615
Position Surface form Disambiguated ID Type / Status
Subject Crossing Jordan E375800 entity
Predicate starring P1507 FINISHED
Object Jennifer Finnigan E909782 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: Jennifer Finnigan | Statement: [Crossing Jordan, starring, Jennifer Finnigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Finnigan
Context triple: [Crossing Jordan, starring, Jennifer Finnigan]
  • A. Jennifer Finnigan chosen
    Jennifer Finnigan is a Canadian actress best known for her Emmy-winning role on "The Bold and the Beautiful" and prominent performances in television dramas and comedies.
  • B. Jennifer Fineran
    Jennifer Fineran is a film editor known for her work on the documentary "Ai Weiwei: Never Sorry."
  • C. Marisa Ryan
    Marisa Ryan is an American actress best known for her role as Elizabeth Cooper-MacGillis on the television series "Major Dad" and for appearances in films like "Wet Hot American Summer."
  • D. Molly Regan
    Molly Regan is an American stage actress known for her work as a longtime ensemble member of Chicago’s Steppenwolf Theatre Company.
  • E. Jennifer Tighe
    Jennifer Tighe is an American actress known for her work in television, film, and theater, and as the daughter of actor Kevin Tighe.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb536348190b93ed3c178d1ffb8 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9321f308190b8101162ed671e5e completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:14 a.m.