Triple
T24872824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socs |
E622479
|
entity |
| Predicate | perceivedAsByGreasers |
P138559
|
FINISHED |
| Object | rich kids with no problems |
—
|
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: rich kids with no problems | Statement: [Socs, perceivedAsByGreasers, rich kids with no problems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedAsByGreasers Context triple: [Socs, perceivedAsByGreasers, rich kids with no problems]
-
A.
perceivedCharacter
Indicates how one entity subjectively views or interprets the traits, qualities, or persona of another entity.
-
B.
culturallyPerceivedAs
Indicates that one entity is regarded or interpreted in a particular way by a culture or cultural group.
-
C.
perceivedByRivalsAs
chosen
Indicates that one entity is regarded or viewed in a particular way by its rivals.
-
D.
typicallyWornBy
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
E.
perceivedByRubyMenAs
Indicates that something is perceived or regarded in a particular way by men named Ruby.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:23 a.m.