Triple

T22644426
Position Surface form Disambiguated ID Type / Status
Subject José Pancetti E558918 entity
Predicate familyName P18 FINISHED
Object Pancetti NE NERFINISHED

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: Pancetti | Statement: [José Pancetti, familyName, Pancetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pancetti
Context triple: [José Pancetti, familyName, Pancetti]
  • A. Pancetti chosen
    Pancetti is the surname of Brazilian painter José Pancetti, known for his modernist seascapes.
  • B. Sausage
    Sausage is an American alternative rock side project formed by Primus guitarist Larry LaLonde, known for its experimental, offbeat style.
  • C. Toulouse sausage
    Toulouse sausage is a traditional coarse-ground French pork sausage from the Toulouse region, known for its simple seasoning and frequent use in hearty dishes like cassoulet.
  • D. Bacon
    Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
  • E. Prosciutto di Parma
    Prosciutto di Parma is a renowned Italian dry-cured ham from the Parma area, celebrated for its delicate flavor and traditional artisanal production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170366ac881909e9d1dd2e7cf7a25 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.