Triple

T6168547
Position Surface form Disambiguated ID Type / Status
Subject Captain Disko Troop E137633 entity
Predicate givenName P17 FINISHED
Object Disko
Disko is the tough, weathered New England fishing captain and father figure in Rudyard Kipling’s novel “Captains Courageous.”
 E573091 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: Disko | Statement: [Captain Disko Troop, givenName, Disko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Disko
Context triple: [Captain Disko Troop, givenName, Disko]
  • A. Disco Club
    "Disco Club" is a song featured on the album "Monkey Business," likely characterized by dance-oriented, disco-influenced music.
  • B. Disco Dan
    Disco Dan is the nickname of Dan Bylsma, a Stanley Cup–winning former NHL head coach best known for his tenure with the Pittsburgh Penguins.
  • C. DISCA
    DISCA was the NASDAQ ticker symbol for Discovery, Inc., a major American media company known for its portfolio of nonfiction television networks such as Discovery Channel and Animal Planet.
  • D. Euro disco
    Euro disco is a style of dance-oriented pop music that emerged in Europe in the 1970s, characterized by lush production, catchy melodies, and strong electronic and disco influences.
  • E. Jaz-O
    Jaz-O is an American rapper and producer from Brooklyn best known as Jay-Z’s early mentor and collaborator in the late 1980s and 1990s.
  • 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: Disko
Triple: [Captain Disko Troop, givenName, Disko]
Generated description
Disko is the tough, weathered New England fishing captain and father figure in Rudyard Kipling’s novel “Captains Courageous.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Disko
Target entity description: Disko is the tough, weathered New England fishing captain and father figure in Rudyard Kipling’s novel “Captains Courageous.”
  • A. Disco Club
    "Disco Club" is a song featured on the album "Monkey Business," likely characterized by dance-oriented, disco-influenced music.
  • B. Disco Dan
    Disco Dan is the nickname of Dan Bylsma, a Stanley Cup–winning former NHL head coach best known for his tenure with the Pittsburgh Penguins.
  • C. DISCA
    DISCA was the NASDAQ ticker symbol for Discovery, Inc., a major American media company known for its portfolio of nonfiction television networks such as Discovery Channel and Animal Planet.
  • D. Euro disco
    Euro disco is a style of dance-oriented pop music that emerged in Europe in the 1970s, characterized by lush production, catchy melodies, and strong electronic and disco influences.
  • E. Jaz-O
    Jaz-O is an American rapper and producer from Brooklyn best known as Jay-Z’s early mentor and collaborator in the late 1980s and 1990s.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d8de56481909583104c70a52616 completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a947808190ac68e6f00858a573 completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c1458171588190a074797c3b51f1e7 completed March 23, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_69c145f2290c819093f787a4f9a6a832 completed March 23, 2026, 1:53 p.m.
Created at: March 22, 2026, 4:18 p.m.