Triple
T10324042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky "Jupe" Park |
E242712
|
entity |
| Predicate | misinterprets |
P38994
|
FINISHED |
| Object | Gordy's apparent bond with him |
—
|
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: Gordy's apparent bond with him | Statement: [Ricky "Jupe" Park, misinterprets, Gordy's apparent bond with him]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misinterprets Context triple: [Ricky "Jupe" Park, misinterprets, Gordy's apparent bond with him]
-
A.
misinterpretedBy
chosen
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
B.
disputedInterpretation
Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
-
C.
misappliedAs
Indicates that something has been used, interpreted, or assigned in an incorrect, inappropriate, or unintended way.
-
D.
misidentifiedAs
Indicates that one entity has been incorrectly recognized, labeled, or understood as another, distinct entity.
-
E.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:51 a.m.