Triple
T14795795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Owens |
E347773
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Number One Heel
"Number One Heel" is a country music song performed by Bonnie Owens that contributed to her recognition in the 1960s honky-tonk scene.
|
E1121069
|
NE FINISHED |
How this triple was built (4 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: Number One Heel | Statement: [Bonnie Owens, notableWork, Number One Heel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Number One Heel Context triple: [Bonnie Owens, notableWork, Number One Heel]
-
A.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
-
B.
Heels
Heels is a television drama series centered on the world of small-town professional wrestling and the personal and familial conflicts behind the scenes.
-
C.
Number One
Number One is the composed and highly capable first officer of the USS Enterprise in the Star Trek universe, originally introduced in the 1960s pilot and later portrayed by Rebecca Romijn in modern series.
-
D.
Number One
"Number One" is a song by John Legend from his debut studio album "Get Lifted."
-
E.
Number One
Number One is the Balmoral Hotel’s acclaimed fine-dining restaurant in Edinburgh, known for its refined Scottish cuisine and elegant setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Number One Heel Triple: [Bonnie Owens, notableWork, Number One Heel]
Generated description
"Number One Heel" is a country music song performed by Bonnie Owens that contributed to her recognition in the 1960s honky-tonk scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Number One Heel Target entity description: "Number One Heel" is a country music song performed by Bonnie Owens that contributed to her recognition in the 1960s honky-tonk scene.
-
A.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
-
B.
Heels
Heels is a television drama series centered on the world of small-town professional wrestling and the personal and familial conflicts behind the scenes.
-
C.
Number One
Number One is the composed and highly capable first officer of the USS Enterprise in the Star Trek universe, originally introduced in the 1960s pilot and later portrayed by Rebecca Romijn in modern series.
-
D.
Number One
"Number One" is a song by John Legend from his debut studio album "Get Lifted."
-
E.
Number One
Number One is the Balmoral Hotel’s acclaimed fine-dining restaurant in Edinburgh, known for its refined Scottish cuisine and elegant setting.
- F. None of above. chosen
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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c0beb0819081a124479a849bb6 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe2c102f8c8190b9ed567fd2946ed2 |
completed | May 8, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2d898ae08190be30b5a12937a6a4 |
completed | May 8, 2026, 6:38 p.m. |
Created at: April 10, 2026, 1:31 a.m.