Triple
T14102805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friday film series |
E339423
|
entity |
| Predicate | notableQuoteOrigin |
P112822
|
FINISHED |
| Object | Bye, Felicia |
—
|
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: Bye, Felicia | Statement: [Friday film series, notableQuoteOrigin, Bye, Felicia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuoteOrigin Context triple: [Friday film series, notableQuoteOrigin, Bye, Felicia]
-
A.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
B.
quoteAttributedTo
Indicates that a specific quotation is credited as having been said or written by a particular source or entity.
-
C.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
-
D.
notableQuoteStyle
Indicates the characteristic manner or style in which a notable quote is expressed or delivered.
-
E.
notableAuthorMention
Indicates that a notable or well-known author is referenced or cited in relation to the subject.
- F. None of above. chosen
Provenance (4 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.