Triple

T21944279
Position Surface form Disambiguated ID Type / Status
Subject Inferno (2016 film) E541895 entity
Predicate character P662 FINISHED
Object Robert Langdon 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: Robert Langdon | Statement: [Inferno (2016 film), character, Robert Langdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Langdon
Context triple: [Inferno (2016 film), character, Robert Langdon]
  • A. Robert Langdon chosen
    Robert Langdon is a fictional Harvard symbologist and the protagonist of Dan Brown’s thriller novels, known for unraveling historical and religious conspiracies.
  • B. Russell Langdon Brenneman Jr.
    Russell Langdon Brenneman Jr. was an American environmental lawyer and conservationist known for his influential work on land-use policy and environmental protection.
  • C. Trajan Langdon
    Trajan Langdon is a former professional basketball player and NBA executive known for his front-office leadership, including his tenure as general manager of the New Orleans Pelicans.
  • D. Royston Langdon
    Royston Langdon is an English musician best known as the lead singer and bassist of the alternative rock band Spacehog.
  • E. Langdon Beck
    Langdon Beck is a small hamlet in County Durham, England, known for its remote upland setting in the North Pennines and popularity with walkers exploring the surrounding moorland and waterfalls.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.