Triple
T30739194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinnie Green |
E782646
|
entity |
| Predicate | privateReality |
P170495
|
FINISHED |
| Object | struggles with personal issues |
—
|
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: struggles with personal issues | Statement: [Vinnie Green, privateReality, struggles with personal issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privateReality Context triple: [Vinnie Green, privateReality, struggles with personal issues]
-
A.
levelOfReality
Indicates the degree or status of existence or authenticity that one entity has relative to another or within a given framework.
-
B.
realityStatus
Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
-
C.
viewOnReality
Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
-
D.
hasRealityCounterpartInFiction
Indicates that a fictional element corresponds to or is based on a real-world counterpart within a work of fiction.
-
E.
imaginaryWorld
Indicates a relationship where an entity exists within, belongs to, or is associated with a fictional or imagined world rather than the real one.
- F. None of above. chosen
Provenance (4 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 8:37 p.m.