Triple

T16793418
Position Surface form Disambiguated ID Type / Status
Subject Hartley Sawyer E408169 entity
Predicate characterPortrayed P1507 FINISHED
Object Ralph Dibny E1233686 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: Ralph Dibny | Statement: [Hartley Sawyer, characterPortrayed, Ralph Dibny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Dibny
Context triple: [Hartley Sawyer, characterPortrayed, Ralph Dibny]
  • A. Ralph Dibny chosen
    Ralph Dibny is a DC Comics superhero known as the Elongated Man, a stretchy detective and ally of the Flash.
  • B. Wesley Dodds
    Wesley Dodds is a DC Comics superhero best known as the original Sandman, a gas-mask-wearing crimefighter and founding member of the Justice Society of America.
  • C. Jay Garrick
    Jay Garrick is the original Flash, a Golden Age DC Comics superhero known for his super-speed and founding role in early superhero teams.
  • D. Kyle "Gaz" Garrick
    Kyle "Gaz" Garrick is a British special forces operator and key member of Task Force 141 in the Call of Duty: Modern Warfare series, known for his tactical expertise and close partnership with Captain Price.
  • E. Roy Snart
    Roy Snart is a British former child actor best known for his role in the classic Disney film "Bedknobs and Broomsticks."
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28970748190836806c68ad9e230 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.