Triple

T10175964
Position Surface form Disambiguated ID Type / Status
Subject Rufus Sewell E235851 entity
Predicate notableWork P4 FINISHED
Object Hercules E640392 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: Hercules | Statement: [Rufus Sewell, notableWork, Hercules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hercules
Context triple: [Rufus Sewell, notableWork, 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 1972 song by Elton John, featured on his album *Honky Château* and noted for its upbeat rock style and energetic piano-driven arrangement.
  • E. Hercules
    Hercules is a legendary hero of Greco-Roman mythology renowned for his superhuman strength and his completion of the Twelve Labors.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd3a2688190bce277bffffcbf8b completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301232e5c8190ad80c4e78681994c completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.