Triple

T33228900
Position Surface form Disambiguated ID Type / Status
Subject Jack Johnson vs. Jess Willard E850634 entity
Predicate promoter P13067 FINISHED
Object Jack Curley
Jack Curley was an influential early 20th-century American sports promoter best known for organizing major boxing matches and professional wrestling events.
E2041143 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: Jack Curley | Statement: [Jack Johnson vs. Jess Willard, promoter, Jack Curley]
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: Jack Curley
Triple: [Jack Johnson vs. Jess Willard, promoter, Jack Curley]
Generated description
Jack Curley was an influential early 20th-century American sports promoter best known for organizing major boxing matches and professional wrestling events.

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_69f349613f988190a1eb75467d167122 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6daabfa3c8190ac3eab4c836ae83c completed May 3, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fda48b88190838492c5676ae5b6 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a3530aa1f94819086b78b77d6467ea6 completed June 19, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_6a3531bf1bfc8190a82a471b89b4f260 completed June 19, 2026, 12:10 p.m.
Created at: May 1, 2026, 1:30 a.m.