Triple
T37631721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candi Staton |
E936361
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Stand by Your Man
"Stand by Your Man" is a classic country song, originally made famous by Tammy Wynette, that has been widely covered and is known as one of the most iconic and controversial anthems about loyalty in romantic relationships.
|
E240148
|
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: Stand by Your Man | Statement: [Candi Staton, notableWork, Stand by Your Man]
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: Stand by Your Man Triple: [Candi Staton, notableWork, Stand by Your Man]
Generated description
"Stand by Your Man" is a classic country song, originally made famous by Tammy Wynette, that has been widely covered and is known as one of the most iconic and controversial anthems about loyalty in romantic relationships.
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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba95ade0481908ccda93977c0db58 |
completed | May 6, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40aff592388190a4deed4ec3072a73 |
completed | June 28, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_6a40b16a68c08190ae4204e7cf4cdf68 |
completed | June 28, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40b204c12c819085dadeffc57aa2d4 |
completed | June 28, 2026, 5:32 a.m. |
Created at: May 3, 2026, 4:18 p.m.