Triple

T2456792
Position Surface form Disambiguated ID Type / Status
Subject Aragonese Crusade E54439 entity
Predicate hasParticipant P149 FINISHED
Object Roger de Lauria E339116 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: Roger de Lauria | Statement: [Aragonese Crusade, hasParticipant, Roger de Lauria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger de Lauria
Context triple: [Aragonese Crusade, hasParticipant, Roger de Lauria]
  • A. Roger de Lauria chosen
    Roger de Lauria was a renowned 13th-century admiral of the Crown of Aragon, celebrated for his decisive naval victories in the Mediterranean during the War of the Sicilian Vespers.
  • B. Marco Barricelli
    Marco Barricelli is an Italian-American actor and theatre director known for his work on stage and in voice roles for film and television.
  • C. Greg D'Auria
    Greg D'Auria is a film editor known for his work on major Hollywood productions, including the science fiction film "Star Trek Beyond."
  • D. Paolo Riccio
    Paolo Riccio was a 16th-century Jewish convert to Christianity, scholar, and theologian known for his influential writings that integrated Christian theology with Kabbalistic thought.
  • E. Leo Rossi
    Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd106f4608190ae17ddbd24fad97e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b28da24fe88190aabe2bcc520a35dc completed March 12, 2026, 9:55 a.m.
Created at: March 6, 2026, 9:44 p.m.