Triple

T4457432
Position Surface form Disambiguated ID Type / Status
Subject George Field E97762 entity
Predicate appearedIn P795 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: [George Field, appearedIn, Blood and Sand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood and Sand
Context triple: [George Field, appearedIn, 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356434e9481908f883c09e0908f6b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6282ea6308190b726a9f8176d4d1b completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.