Triple

T34049051
Position Surface form Disambiguated ID Type / Status
Subject Threshold E873166 entity
Predicate isPartOf P10 FINISHED
Object Patrick Williams discography
Patrick Williams discography is the complete collection of recordings by the American composer, arranger, and bandleader known for his work in jazz, film, and television music.
E2078882 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: Patrick Williams discography | Statement: [Threshold, isPartOf, Patrick Williams discography]
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: Patrick Williams discography
Triple: [Threshold, isPartOf, Patrick Williams discography]
Generated description
Patrick Williams discography is the complete collection of recordings by the American composer, arranger, and bandleader known for his work in jazz, film, and television music.

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_69f349a3ec2c8190b62da76e54231a0f completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70b6350388190ba4b9f197dc2ed7a completed May 3, 2026, 8:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36a03ed8808190a493815744137501 completed June 20, 2026, 2:14 p.m.
NEDg Description generation batch_6a36a0c43d388190aa3499b2353aa31b completed June 20, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_6a36a16801c88190923bde7a7fd6a59d completed June 20, 2026, 2:19 p.m.
Created at: May 1, 2026, 1:51 a.m.