Triple

T33939193
Position Surface form Disambiguated ID Type / Status
Subject Sixteen Tons E870116 entity
Predicate recordedBy P1165 FINISHED
Object The Man in Black Johnny Cash
The Man in Black Johnny Cash was an iconic American country singer-songwriter known for his deep, resonant voice, outlaw image, and influential songs spanning country, rock, folk, and gospel.
 E2076211 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: The Man in Black Johnny Cash | Statement: [Sixteen Tons, recordedBy, The Man in Black Johnny Cash]
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: The Man in Black Johnny Cash
Triple: [Sixteen Tons, recordedBy, The Man in Black Johnny Cash]
Generated description
The Man in Black Johnny Cash was an iconic American country singer-songwriter known for his deep, resonant voice, outlaw image, and influential songs spanning country, rock, folk, and gospel.

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_69f3499b0dd48190b07b4b60babcee02 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f702336e3481908b826aa5a453c9f5 completed May 3, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689d317b481909288a7249af8e9dd completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368d972f4c81909b4e5e4bd034b264 completed June 20, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_6a368e2093b88190a09398f5e3fa664f completed June 20, 2026, 12:57 p.m.
Created at: May 1, 2026, 1:49 a.m.