Triple

T9116951
Position Surface form Disambiguated ID Type / Status
Subject Rafael Sabatini E218744 entity
Predicate name P16 FINISHED
Object Rafael Sabatini 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 | Statement: [Rafael Sabatini, name, Rafael Sabatini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Sabatini
Context triple: [Rafael Sabatini, name, Rafael Sabatini]
  • 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. Francesco Sabatini
    Francesco Sabatini was an 18th-century Italian-born architect who became a leading figure in Spanish Neoclassical architecture under King Charles III.
  • C. Valerio Bonelli
    Valerio Bonelli is a film editor known for his work on acclaimed movies such as "Philomena."
  • D. Mann Borgese
    Mann Borgese is the hyphenated family name of Elisabeth Mann Borgese, a German-born Canadian writer and influential advocate for international maritime law and ocean governance.
  • E. Giulio Petroni
    Giulio Petroni was an Italian film director best known for his influential work in the Spaghetti Western genre during the 1960s and 1970s.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a4c9e08190ba3603a5d00afb20 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307299ec8190acade4f388642e23 completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.