Triple
T6714441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Adams |
E153229
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yolanda |
E47296
|
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: Yolanda | Statement: [Yolanda Adams, givenName, Yolanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolanda Context triple: [Yolanda Adams, givenName, Yolanda]
-
A.
Yolanda
chosen
Yolanda is a feminine given name used in various cultures, often associated with figures in the arts, activism, and public life.
-
B.
Wilma
Wilma was a catastrophic 2005 Atlantic hurricane that became one of the most intense on record, causing widespread destruction in the Caribbean and the United States.
-
C.
Irma
Irma is a feminine given name used in various European and Latin American cultures, often considered a variant or related form of names like Emma or Irmina.
-
D.
Vilma
Vilma is a feminine given name used in various cultures, often as a variant of Wilma or Vilhelmina.
-
E.
Hurricane Delta
Hurricane Delta was a late-season, unusually intense tropical cyclone in the 2005 Atlantic hurricane season that contributed to the season’s record-breaking storm activity.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d122d6cc81909bde0c94fb95f016 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70096e05c8190abfa90996db37eeb |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.