Triple

T2619141
Position Surface form Disambiguated ID Type / Status
Subject Colleen Sostorics E58961 entity
Predicate name P16 FINISHED
Object Colleen Sostorics E58961 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: Colleen Sostorics | Statement: [Colleen Sostorics, name, Colleen Sostorics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colleen Sostorics
Context triple: [Colleen Sostorics, name, Colleen Sostorics]
  • A. Colleen Sostorics chosen
    Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
  • B. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • C. Eniko Parrish
    Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
  • D. Melanie Sorich
    Melanie Sorich is the wife of American character actor Clint Howard.
  • E. Lori Collins
    Lori Collins is a central character in the comedy film "Ted," known as John Bennett’s long-suffering girlfriend who pushes him to grow up and choose between her and his crude, living teddy bear best friend.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8962b348190a059519778ea4dba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5626f1848819081f1b6e0128a8e91 completed March 14, 2026, 1:28 p.m.
Created at: March 6, 2026, 9:50 p.m.