Triple

T12180410
Position Surface form Disambiguated ID Type / Status
Subject Uma Thurman E290199 entity
Predicate portrayedCharacter P1668 FINISHED
Object Emma Peel E529510 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: Emma Peel | Statement: [Uma Thurman, portrayedCharacter, Emma Peel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Peel
Context triple: [Uma Thurman, portrayedCharacter, Emma Peel]
  • A. Emma Peel chosen
    Emma Peel is a stylish, intelligent, and martial arts–skilled secret agent who became an iconic heroine of the 1960s British television series "The Avengers."
  • B. Peggy Mitchell
    Peggy Mitchell is a formidable, matriarchal pub landlady from the British soap opera "EastEnders," known for running the Queen Vic and fiercely protecting her family.
  • C. Stella Rimington
    Stella Rimington is a British intelligence officer and author best known for serving as the first female Director General of MI5.
  • D. Jane Bond
    Jane Bond is an individual known primarily through her familial connection by marriage to Alice Clopton.
  • E. Tuppence Middleton
    Tuppence Middleton is a British actress known for her work in film and television, including roles in projects like "Sense8," "The Imitation Game," and "Downton Abbey."
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fc451c819086a2a97967b82908 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6acee6481908ee4129956c98c52 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.