Triple
T11716082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara DioGuardi |
E278500
|
entity |
| Predicate | hasWrittenOrCoWrittenNumberOneHits |
P100382
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Kara DioGuardi, hasWrittenOrCoWrittenNumberOneHits, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWrittenOrCoWrittenNumberOneHits Context triple: [Kara DioGuardi, hasWrittenOrCoWrittenNumberOneHits, yes]
-
A.
hasWrittenNumberOneHit
chosen
Indicates that an entity has created or authored a work (such as a song or piece of music) that has reached the number one position on an official chart or ranking.
-
B.
hasWritingCreditOn
Indicates that an entity is credited as a writer or co-writer for a particular work or production.
-
C.
hasWrittenSongsFor
Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
-
D.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
E.
hasWrittenFor
Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
- F. None of above.
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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.