Triple

T2771138
Position Surface form Disambiguated ID Type / Status
Subject Cliffhanger E61457 entity
Predicate producer P490 FINISHED
Object Alan Marshall E217859 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: Alan Marshall | Statement: [Cliffhanger, producer, Alan Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Marshall
Context triple: [Cliffhanger, producer, Alan Marshall]
  • A. Alan Marshall chosen
    Alan Marshall is a British film producer known for his work on notable movies including the musical gangster film "Bugsy Malone."
  • B. Anthony Dryden Marshall
    Anthony Dryden Marshall was an American diplomat, theatrical producer, and U.S. Marine Corps veteran who later gained notoriety for his criminal conviction related to the financial exploitation of his mother, philanthropist Brooke Astor.
  • C. Luke Murray
    Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
  • D. Alan Ferguson
    Alan Ferguson is an American music video director known for his work with prominent artists across R&B, pop, and rock.
  • E. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6a23208190ba94c9a9f601a042 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de83d3008190bfb483e0c1e75700 completed March 11, 2026, 9:28 p.m.
Created at: March 6, 2026, 9:57 p.m.