Triple

T13429927
Position Surface form Disambiguated ID Type / Status
Subject Ross Marquand E313579 entity
Predicate portrayed P1668 FINISHED
Object Red Skull E59428 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: Red Skull | Statement: [Ross Marquand, portrayed, Red Skull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Skull
Context triple: [Ross Marquand, portrayed, Red Skull]
  • A. Red Skull chosen
    Red Skull is a notorious Nazi supervillain and archenemy of Captain America in Marvel Comics, known for his red, skull-like face and ruthless pursuit of power.
  • B. Helmut Zemo
    Helmut Zemo is a vengeful Sokovian mastermind in the Marvel Cinematic Universe who orchestrates the Avengers’ internal conflict through manipulation and psychological warfare.
  • C. Captain "Howling Mad" Murdock
    Captain "Howling Mad" Murdock is the eccentric, mentally unstable but brilliant helicopter pilot of the A-Team in the 1980s action-adventure television series.
  • D. Danny Ketch
    Danny Ketch is a Marvel Comics character best known as a modern incarnation of Ghost Rider, a supernatural antihero bonded to the Spirit of Vengeance.
  • E. Ben Urich
    Ben Urich is a seasoned investigative reporter in Marvel Comics, best known for uncovering superhero secrets and exposing corruption in New York City.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed304ac8190a8021f749de8164c completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398b828c8190a029a5862ae1fded completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.