Triple

T17957117
Position Surface form Disambiguated ID Type / Status
Subject Helena Carter E448980 entity
Predicate name P16 FINISHED
Object Helena Carter NE NERFINISHED

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: Helena Carter | Statement: [Helena Carter, name, Helena Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena Carter
Context triple: [Helena Carter, name, Helena Carter]
  • A. Helena Carter chosen
    Helena Carter was an American film actress known for her roles in 1940s and 1950s Hollywood productions, particularly in science fiction and adventure films.
  • B. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • C. Caroline Quentin
    Caroline Quentin is an English actress and television presenter best known for her comedic and dramatic roles in popular British series such as "Men Behaving Badly" and "Jonathan Creek."
  • D. Miranda Raison
    Miranda Raison is an English actress known for her work in television, film, and theatre, including roles in "Spooks," "Doctor Who," and various stage productions.
  • E. Margot Tennant
    Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afb0afe08190964e771ec632fa1e completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.