Triple

T16672282
Position Surface form Disambiguated ID Type / Status
Subject Out of the Wasteland E405133 entity
Predicate producer P490 FINISHED
Object Ash Howes E825209 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: Ash Howes | Statement: [Out of the Wasteland, producer, Ash Howes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ash Howes
Context triple: [Out of the Wasteland, producer, Ash Howes]
  • A. Ash Howes chosen
    Ash Howes is a British record producer and mix engineer known for his work with major pop artists and chart-topping albums.
  • B. Cameron Howe
    Cameron Howe is a brilliant, rebellious computer programmer and visionary in the tech industry, best known as a central character in the television series "Halt and Catch Fire."
  • C. Aidan Shaw
    Aidan Shaw is a fictional furniture designer and one of Carrie Bradshaw’s primary love interests in the Sex and the City franchise.
  • D. Brock Pearson
    Brock Pearson is a character from Pixar's "Monsters University," known for co-hosting the university's Scare Games alongside Claire Wheeler.
  • E. Brock Chisholm
    Brock Chisholm was a Canadian psychiatrist and public health expert who became the founding Director-General of the World Health Organization and a prominent advocate for global mental health and international cooperation.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca276848190b7562d7cb88d21e0 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091927a408190a612a9ae2fd30d0a completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.