Triple
T2645768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shopgirl |
E62978
|
entity |
| Predicate | protagonistWorkplace |
P40735
|
FINISHED |
| Object | glove counter at a department store |
—
|
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: glove counter at a department store | Statement: [Shopgirl, protagonistWorkplace, glove counter at a department store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistWorkplace Context triple: [Shopgirl, protagonistWorkplace, glove counter at a department store]
-
A.
featuresProtagonistOccupation
Indicates that the work’s main character has a specified occupation or job role.
-
B.
workBasedOnThisCharacter
Indicates that a creative work is based on, inspired by, or derived from the referenced character.
-
C.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
D.
employerInUniverse
chosen
Indicates that one entity serves as the employer of another within a specified universe, context, or world.
-
E.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd91846b4819093a063c15e1ee6af |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.