Triple

T21528597
Position Surface form Disambiguated ID Type / Status
Subject Nick Chinlund E531168 entity
Predicate familyName P18 FINISHED
Object Chinlund
Chinlund is a surname most notably associated with American actor Nick Chinlund, known for his character roles in film and television.
 E1488410 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: Chinlund | Statement: [Nick Chinlund, familyName, Chinlund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chinlund
Context triple: [Nick Chinlund, familyName, Chinlund]
  • A. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • B. Thantlang
    Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
  • C. Ta’ang
    Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
  • D. Wenchi
    Wenchi is a town in the Bono Region of Ghana known as an important agricultural and historical center.
  • E. Moundang
    The Moundang are an ethnic group of Central Africa, primarily known for their presence in northern Cameroon and neighboring Chad, with a distinct language and rich cultural traditions.
  • 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: Chinlund
Triple: [Nick Chinlund, familyName, Chinlund]
Generated description
Chinlund is a surname most notably associated with American actor Nick Chinlund, known for his character roles in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chinlund
Target entity description: Chinlund is a surname most notably associated with American actor Nick Chinlund, known for his character roles in film and television.
  • A. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • B. Thantlang
    Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
  • C. Ta’ang
    Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
  • D. Wenchi
    Wenchi is a town in the Bono Region of Ghana known as an important agricultural and historical center.
  • E. Moundang
    The Moundang are an ethnic group of Central Africa, primarily known for their presence in northern Cameroon and neighboring Chad, with a distinct language and rich cultural traditions.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8852e68c8190a5341c9f75081382 completed April 26, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e82f61888190a2e54e3d14e13bd1 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e918bc80819093a8939e0eabf06f completed May 17, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09e98b27ec8190bacd93a48e4d5467 completed May 17, 2026, 4:15 p.m.
Created at: April 16, 2026, 6:27 p.m.