Triple

T19681431
Position Surface form Disambiguated ID Type / Status
Subject The A Circuit E472598 entity
Predicate mainCharacter P1183 FINISHED
Object Tommi 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: Tommi | Statement: [The A Circuit, mainCharacter, Tommi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommi
Context triple: [The A Circuit, mainCharacter, Tommi]
  • A. Tomi
    Tomi is a city in Nagano Prefecture, Japan, known for its scenic rural landscapes and proximity to the active volcano Mount Asama.
  • B. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • C. Tommen
    Tommen is a fictional young king from George R. R. Martin’s "A Song of Ice and Fire" series and its TV adaptation "Game of Thrones," known as the gentle and impressionable youngest son of Cersei Lannister.
  • D. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • E. Tommy chosen
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.