Triple

T19284054
Position Surface form Disambiguated ID Type / Status
Subject The Underwater Menace E482262 entity
Predicate writer P1360 FINISHED
Object Geoffrey Orme 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: Geoffrey Orme | Statement: [The Underwater Menace, writer, Geoffrey Orme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Orme
Context triple: [The Underwater Menace, writer, Geoffrey Orme]
  • A. Geoffrey Orme chosen
    Geoffrey Orme was a British screenwriter best known for his work on mid-20th-century films and television, including contributions to series like Doctor Who.
  • B. Geoffrey Orbell
    Geoffrey Orbell was a New Zealand physician and amateur ornithologist best known for rediscovering the thought-to-be-extinct takahē in 1948.
  • C. Geoffrey Vickers
    Geoffrey Vickers was a British Army officer and Victoria Cross recipient renowned for his bravery during World War I.
  • D. Geoffrey Burgon
    Geoffrey Burgon was a British composer best known for his evocative film and television scores, including acclaimed work on series such as "Tinker Tailor Soldier Spy" and "Brideshead Revisited."
  • E. Geoffrey Unsworth
    Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
  • 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.