Triple

T16333560
Position Surface form Disambiguated ID Type / Status
Subject Francine Jones E396616 entity
Predicate relative P37 FINISHED
Object Leo Jones E1097212 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: Leo Jones | Statement: [Francine Jones, relative, Leo Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Jones
Context triple: [Francine Jones, relative, Leo Jones]
  • A. Leo Jones chosen
    Leo Jones is a minor supporting character in the Doctor Who universe, known as Martha Jones's younger brother.
  • B. Wil Jones
    Wil Jones is a former professional basketball player best known for his career in the ABA and NBA during the 1970s and early 1980s.
  • C. Sean Jones
    Sean Jones is the main witness and central protagonist in the action-thriller film "Snakes on a Plane," whose testimony puts him in deadly danger during a high-altitude flight.
  • D. Neal Jones
    Neal Jones is an American actor known for his work in film and television, including a role in the HBO miniseries "Generation Kill."
  • E. Ed Jones
    Ed Jones is a former American football player best known as a defensive standout for the Dallas Cowboys during their dominant years in the 1970s and early 1980s.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e1da1081909bec6e77e6109dce completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580d372c81908fcc267cdc3812a7 completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:07 a.m.