Triple
T23450988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoë Records |
E567778
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Dar 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: Dar Williams | Statement: [Zoë Records, notableArtist, Dar Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dar Williams Context triple: [Zoë Records, notableArtist, Dar Williams]
-
A.
Dar Williams
chosen
Dar Williams is an American singer-songwriter known for her introspective folk music and storytelling lyrics, emerging from the 1990s contemporary folk scene.
-
B.
Heather Worley
Heather Worley is a musician best known as a member of the Washington, D.C.-based post-punk band The Make-Up.
-
C.
Colbie Caillat
Colbie Caillat is an American pop and folk-pop singer-songwriter known for mellow, acoustic hits like "Bubbly" and "Realize."
-
D.
Shawn Colvin
Shawn Colvin is an American singer-songwriter and guitarist best known for her Grammy-winning contemporary folk and pop music, including the hit single "Sunny Came Home."
-
E.
Vanessa Amorosi
Vanessa Amorosi is an Australian pop and soul singer-songwriter known for powerful vocals and hits like "Absolutely Everybody" and "Shine."
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64d3e9c8190a2596b067c4f5061 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:52 p.m.