Triple
T37422473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Pickle |
E929895
|
entity |
| Predicate | hasGivenCharacteristicMonologues |
P111474
|
FINISHED |
| Object | parish council meetings |
—
|
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: parish council meetings | Statement: [Frank Pickle, hasGivenCharacteristicMonologues, parish council meetings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenCharacteristicMonologues Context triple: [Frank Pickle, hasGivenCharacteristicMonologues, parish council meetings]
-
A.
featuresMonologues
chosen
Indicates that something (such as a work, performance, or medium) contains or includes one or more monologues as a notable element.
-
B.
hasIconicDialogue
Indicates that an entity (such as a work or scene) contains dialogue that is widely recognized, memorable, and strongly associated with it.
-
C.
hasDialogueTrait
Indicates that an entity possesses a specific characteristic or quality related to dialogue or conversational behavior.
-
D.
hasWrittenDialogueFor
Indicates that one entity has created or authored dialogue content for another entity, such as a work, project, or production.
-
E.
hasAuthorCharacteristic
Indicates that an author possesses a particular attribute, trait, or quality.
- 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_69f76ebf0f288190ba198a78341613b8 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.