Triple

T13762037
Position Surface form Disambiguated ID Type / Status
Subject Claudie Blakley E330634 entity
Predicate hasRelative P367 FINISHED
Object Kirsten Blakley E1213541 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: Kirsten Blakley | Statement: [Claudie Blakley, hasRelative, Kirsten Blakley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirsten Blakley
Context triple: [Claudie Blakley, hasRelative, Kirsten Blakley]
  • A. Kirsten Blakley chosen
    Kirsten Blakley is a British individual known primarily as the sister of actress Claudie Blakley.
  • B. Kirsten Lees
    Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
  • C. Kirsten Smith
    Kirsten Smith is an American screenwriter and producer best known for co-writing popular teen and romantic comedies such as "Legally Blonde," "10 Things I Hate About You," and "Ella Enchanted."
  • D. Kirsten Corley
    Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
  • E. Kirsten Elms
    Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3548b48190aec852723654bd35 completed May 10, 2026, 9:26 a.m.
Created at: April 9, 2026, 10:10 p.m.