Triple
T30239091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Coughlin |
E768855
|
entity |
| Predicate | famousQuoteGroup |
P492
|
FINISHED |
| Object | “Coughlin’s Law” aphorisms |
—
|
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: “Coughlin’s Law” aphorisms | Statement: [Doug Coughlin, famousQuoteGroup, “Coughlin’s Law” aphorisms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousQuoteGroup Context triple: [Doug Coughlin, famousQuoteGroup, “Coughlin’s Law” aphorisms]
-
A.
notableQuote
chosen
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
B.
quotesComposer
Indicates that one entity is cited or quoted by another as the composer of a work.
-
C.
notableQuoteOrigin
Indicates that a quoted statement is originally attributed to a particular source or context.
-
D.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
-
E.
notableQuoteStyle
Indicates the characteristic manner or style in which a notable quote is expressed or delivered.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6804d6ef081908267e0f6dc644557 |
completed | May 2, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:38 p.m.