Triple

T7773020
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lisco E179118 entity
Predicate employer P7 FINISHED
Object TNT E3614 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: 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 chosen
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • B. TNT
    TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
  • C. Tank
    Tank is a German aeronautical engineer best known for designing the Focke-Wulf Fw 190 fighter aircraft used by the Luftwaffe during World War II.
  • D. Nuke
    Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
  • E. T.N.T.
    T.N.T. is a hard rock song and album by Australian band AC/DC, known for its explosive energy and anthemic chorus.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ee407881908e591d216c504b24 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.