Triple
T8890931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Love Is Like...Wo |
E211665
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Charles Roane |
E781758
|
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: Charles Roane | Statement: [My Love Is Like...Wo, producer, Charles Roane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Roane Context triple: [My Love Is Like...Wo, producer, Charles Roane]
-
A.
Charles Roane
chosen
Charles Roane is a songwriter best known for co-writing the R&B hit "My Love Is Like...Wo" performed by Mýa.
-
B.
Charles Roane
Charles Roane is a music producer known for his work on the album "Back to Basics."
-
C.
John Carnes
John Carnes was an American industrialist best known for co-founding the Lima Locomotive Works, a major manufacturer of steam locomotives in the United States.
-
D.
Charles Dougherty
Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
-
E.
Paul Bransom
Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc619188508190aacda410f0b4c98d |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c6b99a3c8190b873b1cc94609ed6 |
completed | April 4, 2026, 8:07 a.m. |
Created at: March 30, 2026, 6:53 p.m.