Triple

T8512157
Position Surface form Disambiguated ID Type / Status
Subject Jill Melford E201480 entity
Predicate name P16 FINISHED
Object Jill Melford E201480 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: Jill Melford | Statement: [Jill Melford, name, Jill Melford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill Melford
Context triple: [Jill Melford, name, Jill Melford]
  • A. Jill Melford chosen
    Jill Melford was a British actress known for her work in mid-20th-century film, television, and theatre.
  • B. Karen Hood
    Karen Hood is the central protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal dramas and emotional developments revolve.
  • C. Tal Wilkenfeld
    Tal Wilkenfeld is an Australian bass guitarist, singer, and songwriter renowned for her virtuosic playing and collaborations with major rock and jazz artists.
  • D. Karla Crome
    Karla Crome is a British actress and writer known for her roles in television series such as Misfits, Under the Dome, and Carnival Row.
  • E. Kat Barton
    Kat Barton is a key supporting character who aids the main protagonist in their journey, often providing crucial assistance and companionship.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60b0d4c8190812ddbc1c17389c8 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e4e64f481908ddf99570fe59332 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.