Triple

T20209810
Position Surface form Disambiguated ID Type / Status
Subject Mike Leander E493458 entity
Predicate workedWith P398 FINISHED
Object Tom Jones — 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: Tom Jones | Statement: [Mike Leander, workedWith, Tom Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Jones
Context triple: [Mike Leander, workedWith, Tom Jones]
  • A. Tom Jones
    Tom Jones is a 1963 British comedy-adventure film, based on Henry Fielding’s novel, that became a critical and commercial success and won the Academy Award for Best Picture.
  • B. Tom Jones chosen
    Tom Jones is a Welsh singer renowned for his powerful voice and hit songs like "It's Not Unusual," who became an international star from the 1960s onward.
  • C. Tom Jones
    Tom Jones is the charismatic, high-spirited protagonist of Henry Fielding’s classic 18th-century comic novel, known for his romantic escapades and moral growth.
  • D. Tom Jones
    Tom Jones was an American lyricist and librettist best known for co-creating the long-running off-Broadway musical "The Fantasticks."
  • E. Jack Jones
    Jack Jones is an American traditional pop and jazz singer known for his smooth baritone voice and classic interpretations of standards.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed4706c81908a5e4a3023a9c22f completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.