Triple
T330751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Will Always Love You |
E6619
|
entity |
| Predicate | GrammyAward |
P11
|
FINISHED |
| Object | Record of the Year (Whitney Houston version) |
—
|
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: Record of the Year (Whitney Houston version) | Statement: [I Will Always Love You, GrammyAward, Record of the Year (Whitney Houston version)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GrammyAward Context triple: [I Will Always Love You, GrammyAward, Record of the Year (Whitney Houston version)]
-
A.
awardName
Indicates the specific name or title of an award associated with an entity.
-
B.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
C.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
D.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaafd1a48190a6d001af3c2a5318 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.