Triple

T30757873
Position Surface form Disambiguated ID Type / Status
Subject Jerry Jeff Walker E783138 entity
Predicate album P1995 FINISHED
Object Too Old to Change
"Too Old to Change" is a country music album by singer-songwriter Jerry Jeff Walker, showcasing his laid-back Texas outlaw style and storytelling.
 E1931932 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: Too Old to Change | Statement: [Jerry Jeff Walker, album, Too Old to Change]
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: Too Old to Change
Triple: [Jerry Jeff Walker, album, Too Old to Change]
Generated description
"Too Old to Change" is a country music album by singer-songwriter Jerry Jeff Walker, showcasing his laid-back Texas outlaw style and storytelling.

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_69f224b047f48190b4f5efeb7ee97b37 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68f994b5081908ec02116df654bde completed May 2, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b09112e48190906170c406939951 completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b4e1fc608190b4382fa665dc6fed completed June 10, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a28b61b4e148190a27ad4358b3e21cb completed June 10, 2026, 12:55 a.m.
Created at: April 29, 2026, 8:39 p.m.