Triple

T6710441
Position Surface form Disambiguated ID Type / Status
Subject Fred Niblo E153124 entity
Predicate notableWork P4 FINISHED
Object Blood and Sand E13180 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 | Statement: [Fred Niblo, notableWork, Blood and Sand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood and Sand
Context triple: [Fred Niblo, notableWork, Blood and Sand]
  • A. Blood and Sand chosen
    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
    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. Black Mischief
    Black Mischief is a satirical novel by Evelyn Waugh that lampoons British imperialism and modernizing schemes in a fictional African kingdom.
  • D. The Painted Angel
    The Painted Angel is a 1929 silent drama film starring popular 1920s screen actress Billie Dove.
  • E. The Blue Dahlia
    The Blue Dahlia is a 1946 film noir crime drama, written by Raymond Chandler and starring Alan Ladd and Veronica Lake, about a war veteran entangled in a murder mystery.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d107380481909cc761dc182834c1 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700906a9c81908a121db4291195d8 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.