Triple

T23472413
Position Surface form Disambiguated ID Type / Status
Subject Phil LaMarr E570164 entity
Predicate familyName P18 FINISHED
Object LaMarr 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: LaMarr | Statement: [Phil LaMarr, familyName, LaMarr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaMarr
Context triple: [Phil LaMarr, familyName, LaMarr]
  • A. John LaMarr
    John LaMarr is a brilliant yet laid-back engineer and later chief engineer aboard the USS Orville in the science fiction TV series "The Orville."
  • B. Phil LaMarr chosen
    Phil LaMarr is an American actor and prolific voice actor known for his work on sketch comedy shows and in animated series such as Futurama, Samurai Jack, and Justice League.
  • C. Lamar Taylor
    Lamar Taylor is a songwriter best known for his work on contemporary R&B and hip-hop tracks, including contributions to major hits like Usher's "Love in This Club."
  • D. Lamonte
    Lamonte is a masculine given name, typically considered a variant of Lamont and used primarily in English-speaking countries.
  • E. Lamar Lundy
    Lamar Lundy was an American defensive end best known as one of the Los Angeles Rams’ famed “Fearsome Foursome” defensive line of the 1960s.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a70244208190bbd8f58ac16d4399 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:55 p.m.