Triple
T7421890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Webby Award |
E171268
|
entity |
| Predicate | ceremonyFeature |
P21211
|
FINISHED |
| Object | five-word acceptance speech |
—
|
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: five-word acceptance speech | Statement: [Webby Award, ceremonyFeature, five-word acceptance speech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonyFeature Context triple: [Webby Award, ceremonyFeature, five-word acceptance speech]
-
A.
ceremonyIncludes
chosen
Indicates that a particular ceremony contains, involves, or encompasses a specified component, activity, or element as part of its structure or proceedings.
-
B.
ceremonyKnownAs
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
-
C.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
D.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
E.
ceremonyState
Indicates the current status or phase of a ceremony within its overall lifecycle.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ed29ec8190804564185fe20797 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.