Triple

T19284145
Position Surface form Disambiguated ID Type / Status
Subject The Macra Terror E482264 entity
Predicate writer P1360 FINISHED
Object Ian Stuart Black 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: Ian Stuart Black | Statement: [The Macra Terror, writer, Ian Stuart Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Stuart Black
Context triple: [The Macra Terror, writer, Ian Stuart Black]
  • A. Ian Stuart Black chosen
    Ian Stuart Black was a British television scriptwriter and novelist best known for his work on the science fiction series Doctor Who in the 1960s.
  • B. Ian Black
    Ian Black is a name shared by several notable individuals, including a British journalist and author known for his work on Middle Eastern affairs.
  • C. Alan Statham
    Alan Statham is a socially awkward, pompous, and often inept radiologist known for his bizarre behavior and unrequited love interests in the British comedy series "Green Wing."
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. Ian Furner
    Ian Furner is an academic known for supervising the doctoral research of prominent plant biologist Dame Ottoline Leyser.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc0099148190bfec8e8eadc72406 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.