Triple

T18527666
Position Surface form Disambiguated ID Type / Status
Subject Thunderbolt Ross E452760 entity
Predicate nickname P55 FINISHED
Object Thunderbolt Ross 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: Thunderbolt Ross | Statement: [Thunderbolt Ross, nickname, Thunderbolt Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunderbolt Ross
Context triple: [Thunderbolt Ross, nickname, Thunderbolt Ross]
  • A. Thunderbolt Ross chosen
    Thunderbolt Ross is a high-ranking U.S. military officer in Marvel Comics, best known for obsessively hunting the Hulk and later becoming the Red Hulk.
  • B. Zemo Alvani
    Zemo Alvani is a village in northeastern Georgia inhabited by the Batsbi (Tsova-Tush) ethnic minority.
  • C. Paul Durden
    Paul Durden is a Welsh screenwriter best known for co-writing the cult comedy film "Twin Town."
  • D. Luke Short
    Luke Short was a famed 19th-century American gambler and gunfighter known for his role in several Old West conflicts and his associations with notable lawmen and outlaws.
  • E. Odin Quincannon
    Odin Quincannon is a ruthless, power-hungry meat-processing magnate and antagonist from the comic book and television series "Preacher."
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533f9bd1081909743b24e290b7dfe completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.