Triple

T18099275
Position Surface form Disambiguated ID Type / Status
Subject Brett E433172 entity
Predicate ship P880 FINISHED
Object Nostromo 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: Nostromo | Statement: [Brett, ship, Nostromo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nostromo
Context triple: [Brett, ship, Nostromo]
  • A. Nostromo
    Nostromo is a 1904 political novel by Joseph Conrad that explores imperialism, revolution, and moral ambiguity in a fictional South American republic.
  • B. Nostromo chosen
    Nostromo is the commercial towing spaceship featured in the 1979 science fiction horror film "Alien," where its crew encounters a deadly extraterrestrial creature.
  • C. Master of the World
    Master of the World is a 1961 American science fiction adventure film, loosely based on Jules Verne novels, starring Vincent Price and Charles Bronson.
  • D. Marianela
    Marianela is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • E. Benito Cereno
    Benito Cereno is a novella by Herman Melville that explores themes of slavery, power, and deception through the mysterious encounter between an American captain and a Spanish slave ship.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb521448190b97d2b2aa7e4d7e6 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.