Triple
T26759953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelah Clarke |
E674772
|
entity |
| Predicate | hasFanRecognitionFor |
P753
|
FINISHED |
| Object | faithful interpretation of Jane Eyre |
—
|
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: faithful interpretation of Jane Eyre | Statement: [Zelah Clarke, hasFanRecognitionFor, faithful interpretation of Jane Eyre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanRecognitionFor Context triple: [Zelah Clarke, hasFanRecognitionFor, faithful interpretation of Jane Eyre]
-
A.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
-
B.
hasFanPerception
Indicates that an entity is perceived, interpreted, or regarded in a particular way by its fans or fan community.
-
C.
areRecognizedBy
Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
-
D.
recognizedFor
chosen
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
E.
hasFanBaseDepictedAs
Indicates that an entity has a fan base that is visually or narratively represented in some form (e.g., in media, artwork, or documentation).
- 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_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 3:57 a.m.