Triple

T14189190
Position Surface form Disambiguated ID Type / Status
Subject Samuel Shellabarger E351661 entity
Predicate influencedBy P9 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: [Samuel Shellabarger, influencedBy, Rafael Sabatini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Sabatini
Context triple: [Samuel Shellabarger, influencedBy, 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. Aurelio Saffi
    Aurelio Saffi was an Italian politician and republican patriot who played a leading role in the Risorgimento and later became a prominent advocate for democratic and nationalist causes.
  • D. Valerio Bonelli
    Valerio Bonelli is a film editor known for his work on acclaimed movies such as "Philomena."
  • E. Rafael Sabatini Jr.
    Rafael Sabatini Jr. was the son of Italian-English novelist Rafael Sabatini, known primarily in relation to his famous father's literary legacy.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61de509881908967ef5031f2a8d9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194543f081909cb11cf0881afa90 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.