Triple

T22209668
Position Surface form Disambiguated ID Type / Status
Subject Kim Ki-duk E548906 entity
Predicate notableWork P4 FINISHED
Object 3-Iron 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: 3-Iron | Statement: [Kim Ki-duk, notableWork, 3-Iron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3-Iron
Context triple: [Kim Ki-duk, notableWork, 3-Iron]
  • A. 3-Iron chosen
    3-Iron is a 2004 South Korean romantic drama film by Kim Ki-duk, noted for its minimal dialogue and poetic exploration of loneliness and unconventional relationships.
  • B. The Iron
    The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
  • C. The Iron
    The Iron is the nickname of Scunthorpe United F.C., an English professional football club traditionally associated with the town’s steel industry.
  • D. Irons
    Irons is a surname most notably associated with American drummer Jack Irons, a founding member of the Red Hot Chili Peppers and former Pearl Jam drummer.
  • E. Ирон (Iron)
    Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.