Triple
T33961592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayne–Webster debate |
E870728
|
entity |
| Predicate | significantQuoteAuthor |
P21904
|
FINISHED |
| Object | Daniel Webster |
—
|
NE NERFINISHED |
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: Daniel Webster | Statement: [Hayne–Webster debate, significantQuoteAuthor, Daniel Webster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantQuoteAuthor Context triple: [Hayne–Webster debate, significantQuoteAuthor, Daniel Webster]
-
A.
notableQuoteOrigin
Indicates that a quoted statement is originally attributed to a particular source or context.
-
B.
quoteAttributedTo
chosen
Indicates that a specific quotation is credited as having been said or written by a particular source or entity.
-
C.
importantAuthor
Indicates that an entity plays a significant or primary authorship role in relation to another entity (such as a work, document, or publication).
-
D.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
E.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
- 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:50 a.m.