Triple
T26759985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowood School |
E674773
|
entity |
| Predicate | basedOnAuthorExperience |
P2806
|
FINISHED |
| Object | Charlotte Brontë |
—
|
NE NERFINISHED |
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: Charlotte Brontë | Statement: [Lowood School, basedOnAuthorExperience, Charlotte Brontë]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnAuthorExperience Context triple: [Lowood School, basedOnAuthorExperience, Charlotte Brontë]
-
A.
basedOnExperience
Indicates that something is determined, chosen, or formed according to prior experience or experiential knowledge.
-
B.
basedOnExpertiseOf
Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
-
C.
basedOnAuthor
chosen
Indicates that one entity is derived from, inspired by, or otherwise created on the basis of the work or contributions of a particular author.
-
D.
relatedToAuthorExperience
Indicates that something has a connection to, is influenced by, or is derived from the author's personal experiences.
-
E.
usedExperienceIn
Indicates that an entity applied or leveraged a particular experience or expertise in performing an action or achieving a result.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 3:57 a.m.