Triple
T10516931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Brocklehurst |
E248057
|
entity |
| Predicate | labels |
P21560
|
FINISHED |
| Object | Jane Eyre as a liar |
—
|
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: Jane Eyre as a liar | Statement: [Mr. Brocklehurst, labels, Jane Eyre as a liar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labels Context triple: [Mr. Brocklehurst, labels, Jane Eyre as a liar]
-
A.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
B.
labelOf
chosen
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
C.
labelIndication
Indicates that a label or designation is assigned to an entity to specify its indication, purpose, or intended use.
-
D.
labelMate
Indicates that two entities are associated with the same label, such as being signed to or represented by the same organization, brand, or record label.
-
E.
commonLabel
Indicates that two or more entities share the same label or designation.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cc58b081908ef15aa89b396db6 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:28 p.m.