Triple

T2541756
Position Surface form Disambiguated ID Type / Status
Subject Shirley Jones E57799 entity
Predicate spouse P13 FINISHED
Object Marty Ingels E270214 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: Marty Ingels | Statement: [Shirley Jones, spouse, Marty Ingels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marty Ingels
Context triple: [Shirley Jones, spouse, Marty Ingels]
  • A. Marty Ingels chosen
    Marty Ingels was an American actor and comedian known for his character roles in film and television and for his long marriage to actress Shirley Jones.
  • B. Peter Bohlin
    Peter Bohlin is an American architect renowned for his humanistic, context-sensitive designs and as a founding partner of the acclaimed firm Bohlin Cywinski Jackson, known for projects such as Apple’s iconic retail stores.
  • C. John Dinkeloo
    John Dinkeloo was an American architect best known for his partnership with Eero Saarinen and later leadership of Kevin Roche John Dinkeloo and Associates, contributing to numerous influential modernist buildings.
  • D. Michael Mies
    Michael Mies was the son of the influential modernist architect Ludwig Mies van der Rohe.
  • E. Ron Jensen
    Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d046430819095605b8a8fd987d5 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.