Triple
T4663797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Waitress |
E102795
|
entity |
| Predicate | keptUnnamed |
P45839
|
FINISHED |
| Object | as a running joke in the series |
—
|
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: as a running joke in the series | Statement: [The Waitress, keptUnnamed, as a running joke in the series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keptUnnamed Context triple: [The Waitress, keptUnnamed, as a running joke in the series]
-
A.
keptIn
Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
-
B.
notDescribedAs
chosen
Indicates that an entity is explicitly not characterized, labeled, or referred to using a particular description or term.
-
C.
notOfficialNameOf
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
D.
notClassifiedAs
Indicates that an entity is explicitly not assigned to, or excluded from, a particular class or category.
-
E.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633aeba88190a8329ed022d685b6 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.