Triple

T13699707
Position Surface form Disambiguated ID Type / Status
Subject Donnie Yen E328484 entity
Predicate birthName P65 FINISHED
Object Yen Ji-dan
Yen Ji-dan is the birth name of Donnie Yen, a renowned Hong Kong actor, martial artist, and action film director known for his roles in movies such as the "Ip Man" series.
 E1056050 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: Yen Ji-dan | Statement: [Donnie Yen, birthName, Yen Ji-dan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yen Ji-dan
Context triple: [Donnie Yen, birthName, Yen Ji-dan]
  • A. Yang Jin-mo
    Yang Jin-mo is a South Korean film editor best known for his acclaimed work on the Academy Award–winning film "Parasite."
  • B. Koh Sang-ji
    Koh Sang-ji is a notable individual bearing the Korean surname Koh, recognized enough to be specifically cited among its prominent bearers.
  • C. Jung Sun-young
    Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
  • D. Son Ki-jung
    Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
  • E. Koo Cha-kyung
    Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
  • 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: Yen Ji-dan
Triple: [Donnie Yen, birthName, Yen Ji-dan]
Generated description
Yen Ji-dan is the birth name of Donnie Yen, a renowned Hong Kong actor, martial artist, and action film director known for his roles in movies such as the "Ip Man" series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yen Ji-dan
Target entity description: Yen Ji-dan is the birth name of Donnie Yen, a renowned Hong Kong actor, martial artist, and action film director known for his roles in movies such as the "Ip Man" series.
  • A. Yang Jin-mo
    Yang Jin-mo is a South Korean film editor best known for his acclaimed work on the Academy Award–winning film "Parasite."
  • B. Koh Sang-ji
    Koh Sang-ji is a notable individual bearing the Korean surname Koh, recognized enough to be specifically cited among its prominent bearers.
  • C. Jung Sun-young
    Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
  • D. Son Ki-jung
    Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
  • E. Koo Cha-kyung
    Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794559e9c81909ef8a6d9b9f480b3 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f798aab9c48190acaa78864e89411f completed May 3, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_69f79943e4f4819098fa82cb6a32e08a completed May 3, 2026, 6:51 p.m.
Created at: April 9, 2026, 9:54 p.m.