Triple

T1615876
Position Surface form Disambiguated ID Type / Status
Subject David E34716 entity
Predicate hasShortForm P43 FINISHED
Object Dai
Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
 E182796 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: Dai | Statement: [David, hasShortForm, Dai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dai
Context triple: [David, hasShortForm, Dai]
  • A. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • B. Daza
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • C. Dawan
    Dawan are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional agrarian culture.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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: Dai
Triple: [David, hasShortForm, Dai]
Generated description
Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dai
Target entity description: Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
  • A. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • B. Daza
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • C. Dawan
    Dawan are an indigenous ethnic group of western Timor known for their distinct Austronesian language and traditional agrarian culture.
  • D. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9099049e0819099763ecb09fb4f57 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51cd2e54819086924378792eb2e3 completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad5248af2881909755ae87b4cd0041 completed March 8, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ad52b3dcf081909e73fba891e985b2 completed March 8, 2026, 10:43 a.m.
Created at: March 4, 2026, 7:28 p.m.