Triple
T13793959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daydreamin' |
E331467
|
entity |
| Predicate | awardReceivedForYear |
P73874
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Daydreamin', awardReceivedForYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardReceivedForYear Context triple: [Daydreamin', awardReceivedForYear, 2008]
-
A.
awardForYear
chosen
Indicates that an award is associated with, or was given in, a specific year.
-
B.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
C.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardReceivedWith
Indicates that an entity received a specific award, optionally together with additional contextual details such as the work, role, or circumstances associated with that award.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.