Triple

T21736601
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lisco E536540 entity
Predicate employer P7 FINISHED
Object TNT 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: TNT | Statement: [Jonathan Lisco, employer, TNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT
Context triple: [Jonathan Lisco, employer, TNT]
  • A. TNT
    TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
  • B. TNT chosen
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • C. TNT
    TNT (trinitrotoluene) is a widely used high explosive known for its stability, ease of handling, and role as a standard measure of explosive power.
  • D. TNT
    TNT is a 1982 country music album by Tanya Tucker that marked a stylistic shift toward a more rock-influenced sound.
  • E. TNT
    TNT is a Norwegian hard rock and heavy metal band known for its melodic sound and influential role in the 1980s Scandinavian metal scene.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0c0a088190bd1926fa4b73d8f4 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.