Triple
T34138455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ville Mentality |
E875635
|
entity |
| Predicate | featuresSpokenElements |
P202911
|
FINISHED |
| Object | dialogue and commentary |
—
|
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: dialogue and commentary | Statement: [Ville Mentality, featuresSpokenElements, dialogue and commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenElements Context triple: [Ville Mentality, featuresSpokenElements, dialogue and commentary]
-
A.
featuresSpokenSection
chosen
Indicates that something includes or contains a portion that is delivered or expressed through spoken words or speech.
-
B.
featuresSpokenOrChildVocal
Indicates that the subject has characteristics related to spoken language or vocalizations produced by a child.
-
C.
featuresSpokenVerses
Indicates that something includes or presents spoken verses as a notable component or element.
-
D.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
E.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a030425fa1c81908748583513552d2b |
completed | May 12, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_6a0303ced28081908588b8a14c23efe9 |
completed | May 12, 2026, 10:41 a.m. |
Created at: May 1, 2026, 1:53 a.m.