Triple
T33805428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dotty Otley |
E866369
|
entity |
| Predicate | metaLevelRole |
P171374
|
FINISHED |
| Object | plays a housekeeper in the play-within-a-play |
—
|
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: plays a housekeeper in the play-within-a-play | Statement: [Dotty Otley, metaLevelRole, plays a housekeeper in the play-within-a-play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metaLevelRole Context triple: [Dotty Otley, metaLevelRole, plays a housekeeper in the play-within-a-play]
-
A.
metaLevel
chosen
Indicates a relationship where one entity operates at a higher, descriptive, or controlling level relative to another (e.g., a meta-level concept about an object-level concept).
-
B.
managementRole
Indicates that one entity holds a managerial or supervisory role with authority and responsibility over another entity.
-
C.
massRole
Indicates that an entity plays a specific role or function within a mass or collective context.
-
D.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
E.
definesRole
Indicates that one entity specifies or establishes the role, function, or position of another entity within a given 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbe36a08190bf1f2b0529a85f4a |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.