Triple
T13948596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11th Annual Grammy Awards |
E335454
|
entity |
| Predicate | honorsRecordingsFrom |
P112370
|
FINISHED |
| Object | 1968 |
—
|
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: 1968 | Statement: [11th Annual Grammy Awards, honorsRecordingsFrom, 1968]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsRecordingsFrom Context triple: [11th Annual Grammy Awards, honorsRecordingsFrom, 1968]
-
A.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
-
B.
honoredOn
Indicates that an entity is formally recognized, celebrated, or commemorated on a specific date or occasion.
-
C.
reRecordedFrom
Indicates that one recording is a new recording derived from, based on, or made again from an earlier recording.
-
D.
recordingFor
Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
-
E.
recordedTributeFrom
Indicates that one entity documented or registered the receipt of tribute from another entity.
- F. None of above. chosen
Provenance (4 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:17 p.m.