Triple

T34663689
Position Surface form Disambiguated ID Type / Status
Subject Tex Williams E890192 entity
Predicate birthName P65 FINISHED
Object Sollie Paul Williams
Sollie Paul Williams, better known as Tex Williams, was an American Western swing and country singer famed for his 1947 talking-blues hit "Smoke! Smoke! Smoke! (That Cigarette)."
E2106310 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: Sollie Paul Williams | Statement: [Tex Williams, birthName, Sollie Paul Williams]
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: Sollie Paul Williams
Triple: [Tex Williams, birthName, Sollie Paul Williams]
Generated description
Sollie Paul Williams, better known as Tex Williams, was an American Western swing and country singer famed for his 1947 talking-blues hit "Smoke! Smoke! Smoke! (That Cigarette)."

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_69f349d906bc8190b2efd9eff237d94b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722f429e8819087d585e9976f0024 completed May 3, 2026, 10:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a374901e21c81909363036548da3937 completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a374a5f91d0819099973d5e0356c3b8 completed June 21, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_6a374b28d43c8190bd3514cca5cbaa20 completed June 21, 2026, 2:23 a.m.
Created at: May 1, 2026, 2:04 a.m.