Triple
T13695157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay (The 40-Year-Old Virgin) |
E328364
|
entity |
| Predicate | adviceQuality |
P6861
|
FINISHED |
| Object | often misguided |
—
|
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: often misguided | Statement: [Jay (The 40-Year-Old Virgin), adviceQuality, often misguided]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adviceQuality Context triple: [Jay (The 40-Year-Old Virgin), adviceQuality, often misguided]
-
A.
providesAdviceOn
Indicates that one entity gives guidance, recommendations, or expert counsel to another entity regarding a particular subject or matter.
-
B.
advises
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
C.
hasAdvice
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
D.
quality
chosen
Indicates that an entity possesses a particular attribute, characteristic, or degree of excellence that defines how good, suitable, or effective it is in a given context.
-
E.
safetyAdvice
Indicates that one entity provides guidance or recommendations to another entity about how to avoid danger or reduce risk in a particular 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.