Triple

T23604084
Position Surface form Disambiguated ID Type / Status
Subject Harley Davidson and the Marlboro Man E582842 entity
Predicate castMember P1668 FINISHED
Object Big John Studd
Big John Studd was an American professional wrestler and actor best known for his towering size, feuds with stars like André the Giant in the WWF, and appearances in film and television.
E1594979 NE FINISHED

How this triple was built (2 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: Big John Studd | Statement: [Harley Davidson and the Marlboro Man, castMember, Big John Studd]
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: Big John Studd
Triple: [Harley Davidson and the Marlboro Man, castMember, Big John Studd]
Generated description
Big John Studd was an American professional wrestler and actor best known for his towering size, feuds with stars like André the Giant in the WWF, and appearances in film and television.

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_69e248faa2788190abb1581742daa6aa completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0ee6ce881909f556404cc235418 completed April 29, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f458716b881909ab1a2110c481cd5 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f46faaa5481909c99edb4bdd30049 completed May 21, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f484988d081909280fe863dc80e30 completed May 21, 2026, 6 p.m.
Created at: April 17, 2026, 6:44 p.m.