Triple

T9754537
Position Surface form Disambiguated ID Type / Status
Subject AUTO E236520 entity
Predicate visualInspiration P61406 FINISHED
Object HAL 9000 E469472 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: HAL 9000 | Statement: [AUTO, visualInspiration, HAL 9000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HAL 9000
Context triple: [AUTO, visualInspiration, 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. 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.
  • C. Wheatley
    Wheatley is the surname given to Phillis Wheatley, the first published African American female poet and an important figure in early American literature.
  • D. Wheatley
    Wheatley is a small community in southwestern Ontario, Canada, known for its proximity to Lake Erie and Wheatley Provincial Park.
  • 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 (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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b02ff0f4819080410d4e7e809a24 completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.