Triple

T11249890
Position Surface form Disambiguated ID Type / Status
Subject Undead Labs E266297 entity
Predicate founder P104 FINISHED
Object Jeff Strain E914195 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: Jeff Strain | Statement: [Undead Labs, founder, Jeff Strain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Strain
Context triple: [Undead Labs, founder, Jeff Strain]
  • A. Jeff Strain chosen
    Jeff Strain is a video game developer and studio founder best known for creating Undead Labs and co-founding ArenaNet, contributing to titles like State of Decay and Guild Wars.
  • B. Fred Burns
    Fred Burns was an American actor known for his roles in early silent-era Westerns and adventure films.
  • C. Kenneth Hawks
    Kenneth Hawks was an American film director and producer active in early Hollywood, known for his work at Fox Film Corporation and as the younger brother of director Howard Hawks.
  • D. Mike Henry
    Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
  • E. Mike Henry
    Mike Henry is an American actor and former NFL linebacker best known for playing Tarzan in a series of 1960s films.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e93212448190b46b3799b0bdfa0f completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f40019588190864c59e8451e80bd completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:31 p.m.