Triple

T22442277
Position Surface form Disambiguated ID Type / Status
Subject Ernest Palmer E554781 entity
Predicate notableWork P4 FINISHED
Object Blood and Sand 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: Blood and Sand | Statement: [Ernest Palmer, notableWork, Blood and Sand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood and Sand
Context triple: [Ernest Palmer, notableWork, Blood and Sand]
  • 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. Blood and Sand
    Blood and Sand is a notable work by Edward Snyder, best known as a dramatic play exploring themes of passion, betrayal, and moral conflict.
  • D. La malasangre
    La malasangre is a notable dramatic work associated with Argentine actress and director Cristina Banegas.
  • E. The Scarlet Woman
    The Scarlet Woman is a central Thelemic archetype in Aleister Crowley’s system, representing the liberated, ecstatic feminine principle and the earthly consort or counterpart to the Beast.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae2f7608190b1c1e8bd12ca2162 completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.