Triple

T5045900
Position Surface form Disambiguated ID Type / Status
Subject Evelyn St. Croix Rose E113661 entity
Predicate notableRelative P367 FINISHED
Object Peter Fleming E18855 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: Peter Fleming | Statement: [Evelyn St. Croix Rose, notableRelative, Peter Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Fleming
Context triple: [Evelyn St. Croix Rose, notableRelative, Peter Fleming]
  • A. Peter Fleming chosen
    Peter Fleming was a British travel writer, journalist, and adventurer, best known for his travel books and for his work as a wartime intelligence officer.
  • B. William Fleming
    William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
  • C. Ian Fleming
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • D. Neville Barr
    Neville Barr is an individual notable enough to be recognized as a bearer of the surname Barr, though specific widely known public achievements or roles are not clearly documented.
  • E. Walter Connolly
    Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fe99688190961708f5d8eb6bff completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea47e5ba0819088217a9ad3ce2b0a completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.