Triple

T3812729
Position Surface form Disambiguated ID Type / Status
Subject Doña Sol E93172 entity
Predicate basedOn P98 FINISHED
Object Blood and Sand (novel) E172576 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: Blood and Sand (novel) | Statement: [Doña Sol, basedOn, Blood and Sand (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood and Sand (novel)
Context triple: [Doña Sol, basedOn, Blood and Sand (novel)]
  • A. Blood and Sand
    Blood and Sand is a 1922 silent drama film starring Rudolph Valentino as a rising bullfighter whose fame leads to personal and moral downfall.
  • B. Blood and Sand chosen
    Blood and Sand is a 1941 Technicolor drama film starring Tyrone Power and Rita Hayworth, renowned for its lavish production and tragic tale of a Spanish bullfighter.
  • C. The Painted Angel
    The Painted Angel is a 1929 silent drama film starring popular 1920s screen actress Billie Dove.
  • D. Field of Blood
    Field of Blood is the biblical name traditionally given to the plot of land associated with Judas Iscariot’s betrayal of Jesus and his subsequent death.
  • E. Black Mischief
    Black Mischief is a satirical novel by Evelyn Waugh that lampoons British imperialism and modernizing schemes in a fictional African kingdom.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f549b0819088b64ddb3f38238f completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:16 p.m.