Triple

T17716776
Position Surface form Disambiguated ID Type / Status
Subject Homer (surname) E442219 entity
Predicate hasNotableBearer P458 FINISHED
Object Michael Homer (businessman) 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: Michael Homer (businessman) | Statement: [Homer (surname), hasNotableBearer, Michael Homer (businessman)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Homer (businessman)
Context triple: [Homer (surname), hasNotableBearer, Michael Homer (businessman)]
  • A. Mike Homer chosen
    Mike Homer was a technology executive best known for his leadership roles at Netscape and later as a co-founder of the online video service Kontiki.
  • B. Robert Hohman
    Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
  • C. Roger Humphries
    Roger Humphries is an American jazz drummer known for his work with Horace Silver and other prominent hard bop musicians.
  • D. Ted Milner
    Ted Milner is a character in the psychological thriller film "Secret Window," serving as the literary agent of the troubled writer Mort Rainey.
  • E. Stephen Haggard
    Stephen Haggard was a British actor and writer active in the 1930s and early 1940s, known for his stage and film roles before his death during World War II.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.