Triple

T11761756
Position Surface form Disambiguated ID Type / Status
Subject Gary Moeller E279672 entity
Predicate notableRelative P367 FINISHED
Object Andy Moeller E949578 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: Andy Moeller | Statement: [Gary Moeller, notableRelative, Andy Moeller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Moeller
Context triple: [Gary Moeller, notableRelative, Andy Moeller]
  • A. Andy Moeller chosen
    Andy Moeller is an American football coach and former player best known for his assistant coaching roles in college football and the NFL.
  • B. Dave Moellenhoff
    Dave Moellenhoff is a software engineer and entrepreneur best known as one of the original co-founders and early technical leaders of Salesforce.
  • C. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • D. Andy Milder
    Andy Milder is an American actor best known for his recurring role as Dean Hodes on the television series "Weeds."
  • E. Eric Meola
    Eric Meola is an American photographer best known for his iconic images of Bruce Springsteen and other cultural figures, as well as his vivid, color-saturated landscape and travel photography.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4174972ac819094f3938b18a5081e completed May 1, 2026, 3 a.m.
Created at: April 8, 2026, 9:41 p.m.