Triple

T16848023
Position Surface form Disambiguated ID Type / Status
Subject R.J. MacReady E409594 entity
Predicate hasCompanionCharacter P22642 FINISHED
Object Dr. Blair E320495 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: Dr. Blair | Statement: [R.J. MacReady, hasCompanionCharacter, Dr. Blair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Blair
Context triple: [R.J. MacReady, hasCompanionCharacter, Dr. Blair]
  • A. Dr. Blair chosen
    Dr. Blair is the biologist character in John Carpenter’s horror film "The Thing," known for his increasingly unstable behavior as he uncovers the nature of the alien threat.
  • B. Dr. Harper
    Dr. Harper is a character in the horror film "The Boogeyman," serving as a key figure in the story’s unfolding supernatural terror.
  • C. Dr. Fagan
    Dr. Fagan is a comically unscrupulous and financially desperate headmaster of a disreputable Welsh boarding school in Evelyn Waugh’s satirical novel "Decline and Fall."
  • D. Dr. Deagan
    Dr. Deagan is a character from the comedy film "Bad Words," serving as part of the story’s supporting cast around the adult spelling bee.
  • E. Dr. Foster
    Dr. Foster is a fictional character in Toni Morrison’s novel "Song of Solomon," known primarily as the father of Ruth Foster Dead.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1d555c8190883c82e562b7bfe9 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.