Triple

T11669883
Position Surface form Disambiguated ID Type / Status
Subject Erskine Formula E277349 entity
Predicate usedBy P260 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: [Erskine Formula, usedBy, Red Skull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Skull
Context triple: [Erskine Formula, usedBy, 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a44264c08190ba1a4a5bcdc9367b completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fbb28548190af494ddf1a1ff986 completed April 28, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:39 p.m.