Triple
T30468128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Allan Coe |
E775207
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Ride
"The Ride" is a country song by David Allan Coe, best known as a haunting, narrative ballad about a mysterious encounter with the ghost of Hank Williams.
|
E1917228
|
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 Ride | Statement: [David Allan Coe, notableWork, The Ride]
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 Ride Triple: [David Allan Coe, notableWork, The Ride]
Generated description
"The Ride" is a country song by David Allan Coe, best known as a haunting, narrative ballad about a mysterious encounter with the ghost of Hank Williams.
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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686f4d5c48190b3d9430466d3e3ff |
completed | May 2, 2026, 11:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27ac1d20b08190bda63d18a5ca8f85 |
completed | June 9, 2026, 6:01 a.m. |
| NEDg | Description generation | batch_6a27ac9a7868819089d4d5fa06731e7a |
completed | June 9, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a27ad1fea7c8190ba7203cfe90e6e4a |
completed | June 9, 2026, 6:05 a.m. |
Created at: April 29, 2026, 8:11 p.m.