Triple
T5091478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roz |
E114759
|
entity |
| Predicate | isOneOfGroup |
P12263
|
FINISHED |
| Object | Three main female protagonists in The Robber Bride |
—
|
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: Three main female protagonists in The Robber Bride | Statement: [Roz, isOneOfGroup, Three main female protagonists in The Robber Bride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfGroup Context triple: [Roz, isOneOfGroup, Three main female protagonists in The Robber Bride]
-
A.
isOneOf
Indicates that an entity belongs to a specified set or list of possible values.
-
B.
belongsToGroup
chosen
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
C.
containsGroup
Indicates that one entity includes or encompasses a specific group of entities within it.
-
D.
hasRelatedGroup
Indicates that one group or collection is associated with another group or collection through some defined relationship or connection.
-
E.
oneOfCasesIn
Indicates that an entity is one specific member of a defined set or collection of possible cases.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7541b2bc8190b58c2a23733b7825 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.