Triple

T17844045
Position Surface form Disambiguated ID Type / Status
Subject Lisa Miller Hughes E445608 entity
Predicate hasLoveInterest P7325 FINISHED
Object Grant Colman 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: Grant Colman | Statement: [Lisa Miller Hughes, hasLoveInterest, Grant Colman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant Colman
Context triple: [Lisa Miller Hughes, hasLoveInterest, Grant Colman]
  • A. Grant Colman chosen
    Grant Colman is a fictional character from the long-running American soap opera "As the World Turns," known primarily for his marriage to Lisa Miller Hughes.
  • B. Lewis McGibbon
    Lewis McGibbon is a British former child actor best known for his leading role in the 2004 family film "Millions," directed by Danny Boyle.
  • C. Warren Duff
    Warren Duff was an American screenwriter and film producer active during Hollywood's studio era, known for his work on numerous crime dramas and film noirs.
  • D. George McArdle
    George McArdle is an Australian bass guitarist best known for his work with the rock group Little River Band during the 1970s.
  • E. James Naughton
    James Naughton is an American actor known for his work in film, television, and on Broadway, including his Tony Award-winning stage performances.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.