Triple

T22031994
Position Surface form Disambiguated ID Type / Status
Subject Korean New Wave E544107 entity
Predicate hasNotableFilm P26606 FINISHED
Object 3-Iron
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.
 E1515775 NE FINISHED

How this triple was built (4 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: [Korean New Wave, hasNotableFilm, 3-Iron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 3-Iron
Context triple: [Korean New Wave, hasNotableFilm, 3-Iron]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Ирон (Iron)
    Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
  • E. Ferro
    Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 3-Iron
Triple: [Korean New Wave, hasNotableFilm, 3-Iron]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 3-Iron
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Ирон (Iron)
    Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
  • E. Ferro
    Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
  • F. None of above. chosen

Provenance (5 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127edd5b48190a9aeb2840105c181 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b67c9108190ada69a65c85dc282 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7d125a788190bf1bc501956be1d9 completed May 18, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7de9ca508190b6e74fb62a9cd1bc completed May 18, 2026, 2:48 a.m.
Created at: April 16, 2026, 8:24 p.m.