Triple

T6954078
Position Surface form Disambiguated ID Type / Status
Subject ECV-197 E161196 entity
Predicate chiefEngineer P616 FINISHED
Object John LaMarr E184647 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: John LaMarr | Statement: [ECV-197, chiefEngineer, John LaMarr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John LaMarr
Context triple: [ECV-197, chiefEngineer, John LaMarr]
  • A. John LaMarr chosen
    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
    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. Michael Pitts
    Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
  • D. Patrick Whitesell
    Patrick Whitesell is a prominent American talent agent and entertainment executive, best known as a top leader and co-founder of the global media and talent representation company Endeavor.
  • E. Chris Parnell
    Chris Parnell is an American actor and comedian best known for his work on "Saturday Night Live" and roles in series like "30 Rock," "Archer," and "Rick and Morty."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7618afb0c8190b1545328c1cee5de completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:29 p.m.