Triple

T19177361
Position Surface form Disambiguated ID Type / Status
Subject Dave Bowman E469473 entity
Predicate colleague P398 FINISHED
Object HAL 9000 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: HAL 9000 | Statement: [Dave Bowman, colleague, HAL 9000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HAL 9000
Context triple: [Dave Bowman, colleague, HAL 9000]
  • A. HAL 9000 chosen
    HAL 9000 is the sentient, soft-spoken onboard computer whose malfunctioning artificial intelligence becomes the central antagonist in Arthur C. Clarke and Stanley Kubrick’s 2001: A Space Odyssey.
  • B. Johnny 5
    Johnny 5 is the sentient, wisecracking robot protagonist from the 1980s science-fiction comedy film series "Short Circuit."
  • C. Dr. Susan Calvin
    Dr. Susan Calvin is a brilliant, emotionally reserved robopsychologist in Isaac Asimov’s Robot series, known for her deep understanding of robot behavior and the ethical implications of artificial intelligence.
  • D. Wheatley
    Wheatley is the surname given to Phillis Wheatley, the first published African American female poet and an important figure in early American literature.
  • E. Wheatley
    Wheatley is a large village and civil parish in South Oxfordshire, England, known for its historic center and proximity to Oxford.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f618f18c8190b98995fda4b6fea0 completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.