Triple

T5163733
Position Surface form Disambiguated ID Type / Status
Subject The Sea Hawk (1924 film) E116497 entity
Predicate workBasedOn P6931 FINISHED
Object Rafael Sabatini’s fiction E218744 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: Rafael Sabatini’s fiction | Statement: [The Sea Hawk (1924 film), workBasedOn, Rafael Sabatini’s fiction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Sabatini’s fiction
Context triple: [The Sea Hawk (1924 film), workBasedOn, Rafael Sabatini’s fiction]
  • A. Rafael Sabatini chosen
    Rafael Sabatini was an Italian-English author best known for his swashbuckling historical adventure novels such as "Scaramouche" and "Captain Blood."
  • B. Valerio Bonelli
    Valerio Bonelli is a film editor known for his work on acclaimed movies such as "Philomena."
  • C. Guia Battista Mazzoni
    Guia Battista Mazzoni was an Italian Renaissance sculptor and modeler in terracotta, known for his expressive religious groups and funerary monuments.
  • D. Francesco Sabatini
    Francesco Sabatini was an 18th-century Italian-born architect who became a leading figure in Spanish Neoclassical architecture under King Charles III.
  • E. Karl May
    Karl May was a popular 19th-century German author best known for his adventure novels set in the American Old West and the Orient, featuring characters like Winnetou and Old Shatterhand.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7927a348819082ad531955cdf30d completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed933abd88190981cb16189685b8f completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.