Triple

T11125006
Position Surface form Disambiguated ID Type / Status
Subject Red Dirt Girl E263111 entity
Predicate producer P490 FINISHED
Object Malcolm Burn E517298 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: Malcolm Burn | Statement: [Red Dirt Girl, producer, Malcolm Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Burn
Context triple: [Red Dirt Girl, producer, Malcolm Burn]
  • A. Malcolm Burn chosen
    Malcolm Burn is a Canadian record producer, musician, and audio engineer known for his atmospheric work with artists such as Bob Dylan, Emmylou Harris, and Daniel Lanois.
  • B. Malcolm Elliott
    Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
  • C. Malcolm Blight
    Malcolm Blight is a legendary Australian rules footballer and coach, renowned for his brilliant playing career and innovative coaching in the VFL/AFL.
  • D. Malcolm Hart
    Malcolm Hart is a screenwriter best known for co-writing the cult classic 1971 road movie "Vanishing Point."
  • E. Malcolm Ross
    Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82fc5f88190b34c55de3d50f6a7 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d89378c8190acc7afd1ecdbfbac completed April 19, 2026, 1:19 a.m.
Created at: April 8, 2026, 9:28 p.m.