Triple

T7004349
Position Surface form Disambiguated ID Type / Status
Subject Paul Junger Witt E162414 entity
Predicate familyName P18 FINISHED
Object Witt
Witt is a surname most prominently associated with American television and film producer Paul Junger Witt, known for creating and producing numerous popular TV series.
 E634752 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: Witt | Statement: [Paul Junger Witt, familyName, Witt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Witt
Context triple: [Paul Junger Witt, familyName, Witt]
  • A. WIT
    WIT is the New York Stock Exchange ticker symbol for Wipro Limited, a major Indian multinational information technology services and consulting company.
  • B. Wirth
    Wirth is a Swiss surname most notably associated with computer scientist Niklaus Wirth, the designer of several influential programming languages.
  • C. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • D. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • E. Wits
    Wits is a major South African public research university based in Johannesburg, renowned for its strong academic programs and historical role in social and political activism.
  • 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: Witt
Triple: [Paul Junger Witt, familyName, Witt]
Generated description
Witt is a surname most prominently associated with American television and film producer Paul Junger Witt, known for creating and producing numerous popular TV series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Witt
Target entity description: Witt is a surname most prominently associated with American television and film producer Paul Junger Witt, known for creating and producing numerous popular TV series.
  • A. WIT
    WIT is the New York Stock Exchange ticker symbol for Wipro Limited, a major Indian multinational information technology services and consulting company.
  • B. Wirth
    Wirth is a Swiss surname most notably associated with computer scientist Niklaus Wirth, the designer of several influential programming languages.
  • C. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • D. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • E. Wits
    Wits is a major South African public research university based in Johannesburg, renowned for its strong academic programs and historical role in social and political activism.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc14037c81908bb87250ef29be50 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a3b2e9c8190b90c4eaaaea983ee completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1ef6f481908f4c4f610328f633 completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76c01679c8190b61f642c23c25ed5 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:33 p.m.