Triple

T22969711
Position Surface form Disambiguated ID Type / Status
Subject Kevin Sorbo E571149 entity
Predicate characterPortrayed P1507 FINISHED
Object Hercules 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: Hercules | Statement: [Kevin Sorbo, characterPortrayed, Hercules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hercules
Context triple: [Kevin Sorbo, characterPortrayed, Hercules]
  • A. Hercules
    Hercules is the popular nickname for the Lockheed C-130, a versatile four‑engine military transport aircraft renowned for its durability and ability to operate in challenging conditions.
  • B. Hercules
    Hercules is a prominent northern-sky constellation named after the mythological Greek hero, known for containing the bright globular cluster Messier 13.
  • C. Hercules chosen
    Hercules is a 1997 Disney animated musical film that reimagines the Greek mythological hero as a young demigod seeking to prove himself a true hero.
  • D. Hercules
    Hercules is a legendary hero of Greco-Roman mythology renowned for his superhuman strength and his completion of the Twelve Labors.
  • E. Hercules
    Hercules is a superhumanly strong Olympian demigod and long-time Marvel Comics superhero known for his mythic origins and membership in various heroic teams.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18231459881909dd25a0630c494d8 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.