Triple

T21972880
Position Surface form Disambiguated ID Type / Status
Subject Daniel Stroock E542634 entity
Predicate coAuthor P398 FINISHED
Object J. T. Chang
J. T. Chang is a mathematician known for coauthoring research with probability theorist Daniel Stroock.
 E1513590 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: J. T. Chang | Statement: [Daniel Stroock, coAuthor, J. T. Chang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: J. T. Chang
Context triple: [Daniel Stroock, coAuthor, J. T. Chang]
  • A. Ben Chang
    Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
  • B. John Chang
    John Chang, also known as Chang Myon, was a prominent South Korean statesman who served as the country’s second prime minister and a key leader in its early democratic movement.
  • C. Carlisle Chang
    Carlisle Chang was a prominent Trinidadian artist and designer best known for his influential contributions to national symbols and public art in Trinidad and Tobago.
  • D. Terence Chang
    Terence Chang is a Hong Kong-born film producer best known for his collaborations with director John Woo on action films in both Asian and Hollywood cinema.
  • E. Steve Chang
    Steve Chang is a Taiwanese entrepreneur best known for co-founding and leading the cybersecurity company Trend Micro.
  • 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: J. T. Chang
Triple: [Daniel Stroock, coAuthor, J. T. Chang]
Generated description
J. T. Chang is a mathematician known for coauthoring research with probability theorist Daniel Stroock.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: J. T. Chang
Target entity description: J. T. Chang is a mathematician known for coauthoring research with probability theorist Daniel Stroock.
  • A. Ben Chang
    Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
  • B. John Chang
    John Chang, also known as Chang Myon, was a prominent South Korean statesman who served as the country’s second prime minister and a key leader in its early democratic movement.
  • C. Carlisle Chang
    Carlisle Chang was a prominent Trinidadian artist and designer best known for his influential contributions to national symbols and public art in Trinidad and Tobago.
  • D. Terence Chang
    Terence Chang is a Hong Kong-born film producer best known for his collaborations with director John Woo on action films in both Asian and Hollywood cinema.
  • E. Steve Chang
    Steve Chang is a Taiwanese entrepreneur best known for co-founding and leading the cybersecurity company Trend Micro.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124857dcc8190ab474cd8ab9c130a completed April 28, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a73682f3c8190982c30c32ad54fee completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74fbaad081908c82af6989820455 completed May 18, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75da70b0819086ad27b3f422c1a9 completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 8:02 p.m.