Triple
T20785839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufus Does Judy at Carnegie Hall |
E511633
|
entity |
| Predicate | includesSpokenMaterial |
P56446
|
FINISHED |
| Object | stage banter |
—
|
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: stage banter | Statement: [Rufus Does Judy at Carnegie Hall, includesSpokenMaterial, stage banter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSpokenMaterial Context triple: [Rufus Does Judy at Carnegie Hall, includesSpokenMaterial, stage banter]
-
A.
includesSpeech
chosen
Indicates that one entity contains, features, or incorporates spoken language or dialogue as part of its content or behavior.
-
B.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
C.
includesSpokenWordAppearanceBy
Indicates that something (such as a work, recording, or event) contains an instance where a person or entity appears through spoken words.
-
D.
isSpokenAlong
Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
-
E.
isSpokenLanguage
Indicates that a language is used primarily for oral communication by speakers, as opposed to being only written or symbolic.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.