Triple
T18828502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Newell |
E460457
|
entity |
| Predicate | spokePhrase |
P13561
|
FINISHED |
| Object | Speedy Delivery! |
—
|
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: Speedy Delivery! | Statement: [David Newell, spokePhrase, Speedy Delivery!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokePhrase Context triple: [David Newell, spokePhrase, Speedy Delivery!]
-
A.
spokeWords
Indicates that one entity verbally expressed specific words to another entity or audience.
-
B.
spokeVia
Indicates that communication or speech occurred through a particular medium, channel, or intermediary.
-
C.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given context.
-
D.
usedPhrase
chosen
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
E.
spokenAlong
Indicates that two or more languages are used concurrently or within the same context in a particular place, time, or situation.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99554848190933dd2810f5c810f |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.