Triple
T3845737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyre |
E93564
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jane Eyre |
E49546
|
NE 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 | Statement: [Eyre, hasNotableBearer, Jane Eyre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Eyre Context triple: [Eyre, hasNotableBearer, Jane Eyre]
-
A.
Jane Eyre
chosen
Jane Eyre is a classic 1847 novel by Charlotte Brontë that blends Gothic elements with a deeply personal coming-of-age story about an orphaned governess seeking love, independence, and moral integrity.
-
B.
Wuthering Heights
Wuthering Heights is Emily Brontë’s classic 1847 novel that blends dark romance and psychological drama on the Yorkshire moors, renowned for its intense characters and innovative narrative structure.
-
C.
Shirley
"Shirley" is a social and political novel by Charlotte Brontë set during the industrial unrest of early 19th-century England, exploring themes of class conflict, gender roles, and economic hardship.
-
D.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
E.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504122cb08190ba97ce14e8d891fc |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.