Triple

T20946182
Position Surface form Disambiguated ID Type / Status
Subject Fixed Stars E515848 entity
Predicate visitedBy P1096 FINISHED
Object Dante (pilgrim) 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: Dante (pilgrim) | Statement: [Fixed Stars, visitedBy, Dante (pilgrim)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dante (pilgrim)
Context triple: [Fixed Stars, visitedBy, Dante (pilgrim)]
  • A. Dante (protagonist) chosen
    Dante (protagonist) is the fictionalized version of Dante Alighieri who journeys through Hell, Purgatory, and Heaven in the Divine Comedy, serving as the poem’s central pilgrim and narrator.
  • B. Dante
    Dante is an acclaimed Italian production designer and art director renowned for his work on numerous major films, including collaborations with directors like Federico Fellini and Martin Scorsese.
  • C. Dante
    Dante is the loyal, goofy Xoloitzcuintli dog who accompanies Miguel on his journey through the Land of the Dead in Pixar’s animated film "Coco."
  • D. Dante
    "Dante" is a 1960s American television series starring Howard Duff as a suave nightclub owner who frequently becomes entangled in crime and intrigue.
  • E. Dante
    Dante is a character in the Argentine-Spanish film "Martín (Hache)," contributing to the movie’s exploration of identity, relationships, and generational conflict.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad7f67481908675e76736f5e0c3 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:56 p.m.