Triple

T16226539
Position Surface form Disambiguated ID Type / Status
Subject William A. Wellman E393864 entity
Predicate familyName P18 FINISHED
Object Wellman
Wellman is a surname most notably associated with William A. Wellman, an influential American film director of early Hollywood cinema.
 E1200813 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: Wellman | Statement: [William A. Wellman, familyName, Wellman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wellman
Context triple: [William A. Wellman, familyName, Wellman]
  • A. Yetman
    Yetman is a small rural town in northern New South Wales, Australia, known for its agricultural surroundings and location near the Macintyre River.
  • B. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • C. Leeman
    Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
  • D. Wyman
    Wyman is a character appearing in Willard Van Orman Quine’s philosophical essay “On What There Is,” used to illustrate issues in ontology and the problem of non-existent objects.
  • E. Warman
    Warman is a rapidly growing suburban city in central Saskatchewan, Canada, located just north of Saskatoon.
  • 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: Wellman
Triple: [William A. Wellman, familyName, Wellman]
Generated description
Wellman is a surname most notably associated with William A. Wellman, an influential American film director of early Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wellman
Target entity description: Wellman is a surname most notably associated with William A. Wellman, an influential American film director of early Hollywood cinema.
  • A. Yetman
    Yetman is a small rural town in northern New South Wales, Australia, known for its agricultural surroundings and location near the Macintyre River.
  • B. Leeman
    Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
  • C. Leeman
    Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
  • D. Wyman
    Wyman is a character appearing in Willard Van Orman Quine’s philosophical essay “On What There Is,” used to illustrate issues in ontology and the problem of non-existent objects.
  • E. Warman
    Warman is a rapidly growing suburban city in central Saskatchewan, Canada, located just north of Saskatoon.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d26b02c819080b70ab7cc3bcc24 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079c4184819091d3355a5afaeced completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0009f631e08190aae358edc9ffad6b completed May 10, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a000a6de0488190ac72fb9eee9ec531 completed May 10, 2026, 4:32 a.m.
Created at: April 10, 2026, 5:03 a.m.