Triple
T20651043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Donahue |
E507492
|
entity |
| Predicate | showFormatInnovation |
P102437
|
FINISHED |
| Object | Live audience participation |
—
|
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: Live audience participation | Statement: [Phil Donahue, showFormatInnovation, Live audience participation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showFormatInnovation Context triple: [Phil Donahue, showFormatInnovation, Live audience participation]
-
A.
portraysInnovation
Indicates that one entity depicts, represents, or conveys the idea of innovation in relation to another entity.
-
B.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
-
C.
innovationLevel
Indicates the degree or extent to which something is new, original, or creatively advanced compared to existing norms or solutions.
-
D.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
E.
presentedInFormat
chosen
Indicates that something is expressed, delivered, or made available using a particular format or representation.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af21e87c8190835bf2b2ef195626 |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.