Triple
T29824891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannik |
E757351
|
entity |
| Predicate | gestureInterpretation |
P28571
|
FINISHED |
| Object | gentle touch from behind meant good fortune |
—
|
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: gentle touch from behind meant good fortune | Statement: [Bannik, gestureInterpretation, gentle touch from behind meant good fortune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gestureInterpretation Context triple: [Bannik, gestureInterpretation, gentle touch from behind meant good fortune]
-
A.
gesture
Indicates that an entity uses a bodily movement or sign to communicate or express something to another entity.
-
B.
gestureForm
Indicates the specific physical configuration or movement pattern that characterizes a particular gesture within an interaction.
-
C.
signatureGesture
Indicates a distinctive or characteristic gesture that is uniquely associated with a particular individual or entity.
-
D.
usesHandGestures
Indicates that an entity communicates or expresses itself by making deliberate movements or signals with its hands.
-
E.
signInterpretation
chosen
Indicates that one entity provides or assigns a particular meaning, explanation, or reading to a given sign, symbol, or signal.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67596b610819088e85360aafa860c |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:31 p.m.