Triple
T17437180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | “It’s gettin’ hot in here, so take off all your clothes” |
E424028
|
entity |
| Predicate | quotationOf |
P78667
|
FINISHED |
| Object | Nelly’s vocal performance on “Hot in Herre” |
—
|
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: Nelly’s vocal performance on “Hot in Herre” | Statement: [“It’s gettin’ hot in here, so take off all your clothes”, quotationOf, Nelly’s vocal performance on “Hot in Herre”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotationOf Context triple: [“It’s gettin’ hot in here, so take off all your clothes”, quotationOf, Nelly’s vocal performance on “Hot in Herre”]
-
A.
quotationText
chosen
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
B.
quoteType
Indicates the specific category or classification of a quotation, such as its style, purpose, or contextual role in discourse.
-
C.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
D.
quoteLanguage
Indicates that a quoted text is expressed in a particular language.
-
E.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to another entity.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff468a08190bdc5cebb8162b4ba |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.