Triple

T15674115
Position Surface form Disambiguated ID Type / Status
Subject Frank Cross E377391 entity
Predicate romanticInterest P7325 FINISHED
Object Claire Phillips E422779 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 Phillips | Statement: [Frank Cross, romanticInterest, Claire Phillips]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Phillips
Context triple: [Frank Cross, romanticInterest, Claire Phillips]
  • A. Claire Phillips chosen
    Claire Phillips is a compassionate social worker and the former girlfriend of Bill Murray's character in the 1988 Christmas comedy film "Scrooged."
  • B. Claire Jennings
    Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
  • C. Claire Wright
    Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
  • D. Claire Dodd
    Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
  • E. Claire Brialey
    Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf2567c81909ab6054ade27afac completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 4:16 a.m.