Triple

T14708270
Position Surface form Disambiguated ID Type / Status
Subject Great Sept E345481 entity
Predicate dedicatedTo P500 FINISHED
Object the Stranger E1032339 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: the Stranger | Statement: [Great Sept, dedicatedTo, the Stranger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Stranger
Context triple: [Great Sept, dedicatedTo, the Stranger]
  • A. the Stranger
    The Stranger is a mysterious outsider whose arrival in a small village catalyzes the central moral and spiritual conflict in Paulo Coelho’s novel "The Devil and Miss Prym."
  • B. the Stranger chosen
    The Stranger is the mysterious, death-associated aspect of the Faith of the Seven in the world of "A Song of Ice and Fire" and "Game of Thrones," embodying the unknown and the outcast.
  • C. The Stranger
    The Stranger is a landmark existential novel by Albert Camus that explores themes of absurdism, alienation, and the indifference of the universe through the detached perspective of its protagonist, Meursault.
  • D. The Stranger
    The Stranger is a 1946 American film noir directed by Orson Welles, known for its suspenseful story about a Nazi fugitive hiding in a small Connecticut town.
  • E. The Stranger
    The Stranger is a notable work by author Gretchen Young, recognized for its contribution to contemporary literature.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb609965081908f654bcb9eaaa145 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08a81948190ab903e5b8bfb0c81 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.