Triple

T25444054
Position Surface form Disambiguated ID Type / Status
Subject Chip Taylor E637582 entity
Predicate birthName P65 FINISHED
Object James Wesley Voight
James Wesley Voight, better known by his stage name Chip Taylor, is an American songwriter and musician famed for penning classic hits like "Wild Thing" and "Angel of the Morning."
E1685298 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: James Wesley Voight | Statement: [Chip Taylor, birthName, James Wesley Voight]
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: James Wesley Voight
Triple: [Chip Taylor, birthName, James Wesley Voight]
Generated description
James Wesley Voight, better known by his stage name Chip Taylor, is an American songwriter and musician famed for penning classic hits like "Wild Thing" and "Angel of the Morning."

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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f7028a5c8190b32720973dd5f45e completed May 2, 2026, 1:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad5dc7a8819087f759bf554d3ebd completed May 22, 2026, 7:24 p.m.
NEDg Description generation batch_6a10ae0e67c0819087189306e39cdbc7 completed May 22, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a10ae851d548190a19c0f9293b99e24 completed May 22, 2026, 7:29 p.m.
Created at: April 21, 2026, 2 p.m.