Triple

T15927547
Position Surface form Disambiguated ID Type / Status
Subject Jason Connery E386240 entity
Predicate spouse P13 FINISHED
Object Mia Sara E535836 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: Mia Sara | Statement: [Jason Connery, spouse, Mia Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mia Sara
Context triple: [Jason Connery, spouse, Mia Sara]
  • A. Mia Sara chosen
    Mia Sara is an American actress best known for her role as Sloane Peterson in the 1986 teen comedy film "Ferris Bueller's Day Off."
  • B. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • C. Mia Serafino
    Mia Serafino is an American actress known for her work in film and television, including roles in independent movies and network sitcoms.
  • D. Sarra Kemp
    Sarra Kemp is the wife of British track cycling champion and multiple Olympic gold medallist Sir Chris Hoy.
  • E. Sara Barone
    Sara Barone is a composer best known for her work on the nature documentary series Planet Earth III.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156872964819083a2fb9f86df61ba completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b0833081909668c042234b5b75 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.