Triple
T19830048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal South Records |
E476433
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object | Holly Williams |
—
|
NE NERFINISHED |
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: Holly Williams | Statement: [Universal South Records, signedArtist, Holly Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holly Williams Context triple: [Universal South Records, signedArtist, Holly Williams]
-
A.
Holly Williams
chosen
Holly Williams is an American singer-songwriter and musician known for her country and Americana work and as a member of the Williams country music family.
-
B.
Hilary Williams
Hilary Williams is an American country singer-songwriter and the daughter of country music star Hank Williams Jr.
-
C.
Holly Jones
Holly Jones is a central character in the 2013 thriller film "Prisoners," portrayed as a troubled woman whose past and family connections are key to the movie’s mystery and tension.
-
D.
Melanie Holland
Melanie Holland is the central protagonist of the novel "Strong Motion," around whom the story’s personal and environmental crises unfold.
-
E.
Holly Aird
Holly Aird is a British actress known for her work in television dramas and films, including roles in series such as "Waking the Dead."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.