Triple
T26514714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At the Noon Hour |
E669781
|
entity |
| Predicate | portraysSocialType |
P153785
|
FINISHED |
| Object | white-collar workers |
—
|
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: white-collar workers | Statement: [At the Noon Hour, portraysSocialType, white-collar workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSocialType Context triple: [At the Noon Hour, portraysSocialType, white-collar workers]
-
A.
portraysSocialTypes
chosen
Indicates that an entity depicts or represents particular social roles, groups, or character types.
-
B.
depictsSocietyType
Indicates that one entity visually represents or portrays the type or structure of a particular society associated with another entity.
-
C.
portraysSocialIssue
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
D.
portraysActivity
Indicates that one entity visually or narratively represents another entity engaged in a particular activity.
-
E.
protagonistSocialType
Indicates the type of social role, status, or interaction style that the protagonist has within the context of the narrative or scenario.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 1:22 a.m.