Triple

T8449732
Position Surface form Disambiguated ID Type / Status
Subject Emil Blonsky E199770 entity
Predicate allyOf P4662 FINISHED
Object General Thaddeus Ross E257924 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: General Thaddeus Ross | Statement: [Emil Blonsky, allyOf, General Thaddeus Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Thaddeus Ross
Context triple: [Emil Blonsky, allyOf, General Thaddeus Ross]
  • A. Thaddeus Ross chosen
    Thaddeus Ross is a high-ranking U.S. military officer and government official in Marvel Comics and the Marvel Cinematic Universe, known for his relentless pursuit of the Hulk and later involvement in overseeing superhuman activities.
  • B. Fitz Patton
    Fitz Patton is an acclaimed American sound designer and composer known for his work on numerous Broadway and Off-Broadway productions.
  • C. Jack Sullivan
    Jack Sullivan was a film industry professional recognized for his work in early Hollywood, notably earning the Academy Award for Best Assistant Director.
  • D. Wesley Kilmer
    Wesley Kilmer is a sibling of American actor Val Kilmer, known primarily in relation to his more famous brother.
  • E. Doc Adam Bricker
    Doc Adam Bricker is the ship’s affable, wisecracking physician on the classic television series "The Love Boat."
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39c11a488190b7775002e419eee7 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:09 p.m.