Triple

T16007324
Position Surface form Disambiguated ID Type / Status
Subject Kate Austen E388251 entity
Predicate closeFriend P8712 FINISHED
Object Claire Littleton E849606 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: Claire Littleton | Statement: [Kate Austen, closeFriend, Claire Littleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Littleton
Context triple: [Kate Austen, closeFriend, Claire Littleton]
  • A. Claire Littleton chosen
    Claire Littleton is a young, pregnant Australian survivor on the TV series "Lost," known for her evolving relationship with fellow castaway Charlie Pace and her struggles with motherhood and identity on the island.
  • B. Claire Foster
    Claire Foster is a suburban wife who gets caught up in a chaotic and dangerous adventure with her husband in the comedy film "Date Night."
  • C. Claire Bennett
    Claire Bennett is the acerbic, grief-stricken woman living with chronic pain portrayed by Jennifer Aniston in the drama film "Cake."
  • D. Claire Stenwick
    Claire Stenwick is a cunning former CIA officer turned corporate spy, portrayed by Julia Roberts in the romantic espionage film "Duplicity."
  • E. Clarissa Oakes
    Clarissa Oakes is a historical naval novel by Patrick O’Brian, part of the Aubrey–Maturin series following Captain Jack Aubrey and physician Stephen Maturin during the Napoleonic Wars.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800e3608190bd3e1123ccc6c326 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.