Triple

T13737679
Position Surface form Disambiguated ID Type / Status
Subject Cung Le E329993 entity
Predicate givenName P17 FINISHED
Object Cung
Cung is the given name of Cung Le, a Vietnamese-American former mixed martial artist, kickboxer, and actor.
E1057367 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: Cung | Statement: [Cung Le, givenName, Cung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cung
Context triple: [Cung Le, givenName, Cung]
  • A. Cishousi
    Cishousi is a subway station in Beijing named after the nearby historic Cishou Temple, serving passengers on the city's Line 7.
  • B. Chong
    Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
  • C. Chong
    Chong is a Canadian-American comedian, actor, and musician best known as half of the stoner comedy duo Cheech & Chong.
  • D. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • E. Wulian
    Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
  • 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: Cung
Triple: [Cung Le, givenName, Cung]
Generated description
Cung is the given name of Cung Le, a Vietnamese-American former mixed martial artist, kickboxer, and actor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cung
Target entity description: Cung is the given name of Cung Le, a Vietnamese-American former mixed martial artist, kickboxer, and actor.
  • A. Cishousi
    Cishousi is a subway station in Beijing named after the nearby historic Cishou Temple, serving passengers on the city's Line 7.
  • B. Chong
    Chong is a Canadian-American comedian, actor, and musician best known as half of the stoner comedy duo Cheech & Chong.
  • C. Chong
    Chong is an indigenous ethnic group in Southeast Asia that speaks a Pearic language and is traditionally found in parts of Cambodia and Thailand.
  • D. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • E. Wulian
    Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d68da04819089c95d9bfedc7496 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79f1051b48190ac4704b43e759237 completed May 3, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f79fdf974081909108b0fd89e76d56 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.