Triple

T4298671
Position Surface form Disambiguated ID Type / Status
Subject Qi'ra E99777 entity
Predicate affiliation P10 FINISHED
Object Crimson Dawn E390375 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: Crimson Dawn | Statement: [Qi'ra, affiliation, Crimson Dawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crimson Dawn
Context triple: [Qi'ra, affiliation, Crimson Dawn]
  • A. Crimson Dawn chosen
    Crimson Dawn is a powerful and secretive criminal syndicate in the Star Wars universe, known for its influence in the galactic underworld and ties to major underworld figures.
  • B. Lost Honor
    Lost Honor is a memoir by former White House Counsel John Dean reflecting on his role in the Watergate scandal and its aftermath.
  • C. The War Lord
    The War Lord is a 1965 historical drama film starring Charlton Heston as a conflicted Norman knight in medieval Normandy, directed by Franklin J. Schaffner.
  • D. Fire & Blood
    Fire & Blood is a companion history book by George R. R. Martin that chronicles the rise and rule of House Targaryen in the world of A Song of Ice and Fire.
  • E. The Vanishing Legion
    The Vanishing Legion is a 1931 American movie serial, blending Western and mystery elements, known for its masked riders, oil-field intrigue, and early sound-era action.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509d39348190aa83304661230cba completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c746c9108190a1a81e94b4768f3c completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.