Triple

T20702767
Position Surface form Disambiguated ID Type / Status
Subject Third Person E508823 entity
Predicate editor P1954 FINISHED
Object Jo Francis 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: Jo Francis | Statement: [Third Person, editor, Jo Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Francis
Context triple: [Third Person, editor, Jo Francis]
  • A. Jo Francis chosen
    Jo Francis is a film editor best known for her work on the crime drama film "In the Valley of Elah."
  • B. Leslie Marr
    Leslie Marr was a British landscape painter and amateur racing driver known for competing in Formula One in the 1950s while pursuing a successful artistic career.
  • C. Lucinda Franks
    Lucinda Franks was a Pulitzer Prize–winning American journalist and author known for her investigative reporting and memoirs.
  • D. Frances Charles
    Frances Charles was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
  • E. Fran Healy
    Fran Healy is a Scottish singer-songwriter best known as the lead vocalist and primary songwriter of the rock band Travis.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18cb9cc819095d0669dca037424 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:13 p.m.