Triple

T13961836
Position Surface form Disambiguated ID Type / Status
Subject Dwight Deere Wiman E335813 entity
Predicate familyName P18 FINISHED
Object Wiman
Wiman is a surname most notably associated with American theatrical producer Dwight Deere Wiman.
E1071690 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: Wiman | Statement: [Dwight Deere Wiman, familyName, Wiman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiman
Context triple: [Dwight Deere Wiman, familyName, Wiman]
  • A. Wonsal
    Wonsal is the original family surname of Harry Warner, one of the founding brothers of Warner Bros. film studio.
  • B. Haiman
    Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
  • C. Gunthamund
    Gunthamund was a late 5th-century king of the Vandals and Alans in North Africa, known for his relatively moderate rule and efforts to stabilize the Vandal Kingdom after periods of internal strife.
  • D. Gwari
    Gwari are an ethnic group in central Nigeria, known for their agrarian lifestyle, distinctive cultural traditions, and presence in states such as Niger, Kaduna, and the Federal Capital Territory.
  • E. Slawharad
    Slawharad is a small town in eastern Belarus known for its location on the Sozh River and its historical role as a local administrative and trading center.
  • 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: Wiman
Triple: [Dwight Deere Wiman, familyName, Wiman]
Generated description
Wiman is a surname most notably associated with American theatrical producer Dwight Deere Wiman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiman
Target entity description: Wiman is a surname most notably associated with American theatrical producer Dwight Deere Wiman.
  • A. Wonsal
    Wonsal is the original family surname of Harry Warner, one of the founding brothers of Warner Bros. film studio.
  • B. Haiman
    Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
  • C. Gunthamund
    Gunthamund was a late 5th-century king of the Vandals and Alans in North Africa, known for his relatively moderate rule and efforts to stabilize the Vandal Kingdom after periods of internal strife.
  • D. Gwari
    Gwari are an ethnic group in central Nigeria, known for their agrarian lifestyle, distinctive cultural traditions, and presence in states such as Niger, Kaduna, and the Federal Capital Territory.
  • E. Slawharad
    Slawharad is a small town in eastern Belarus known for its location on the Sozh River and its historical role as a local administrative and trading center.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d6b2e88190b4d2237413f509ee completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba5eaf3a48190bc93c0fcb2723ef5 completed May 6, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69fba71a91fc8190b24185994673b33b completed May 6, 2026, 8:39 p.m.
Created at: April 9, 2026, 10:18 p.m.