Triple

T22805590
Position Surface form Disambiguated ID Type / Status
Subject Torell E564523 entity
Predicate hasSpellingVariant P457 FINISHED
Object Torel 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: Torel | Statement: [Torell, hasSpellingVariant, Torel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torel
Context triple: [Torell, hasSpellingVariant, Torel]
  • A. Torell chosen
    Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
  • B. Tolos
    Tolos is a lesser-known city in the Slaver’s Bay region of the fictional world of Essos in George R. R. Martin’s A Song of Ice and Fire series.
  • C. Toremar
    Toremar is an Italian ferry company that operates passenger and vehicle services between mainland Tuscany and nearby islands in the Tyrrhenian Sea.
  • D. Tufeld
    Tufeld is a surname most notably associated with American voice actor and announcer Dick Tufeld.
  • E. Torla
    Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5b37cc8190a41d8f304ba8d609 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.