Triple
T5398341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Bates |
E120711
|
entity |
| Predicate | admires |
P28362
|
FINISHED |
| Object | Jane Fairfax |
E510506
|
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 Fairfax | Statement: [Miss Bates, admires, Jane Fairfax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Fairfax Context triple: [Miss Bates, admires, Jane Fairfax]
-
A.
Jane Fairfax
chosen
Jane Fairfax is a reserved, accomplished young woman in Jane Austen’s novel "Emma," whose quiet elegance and secret engagement contrast with the heroine’s meddling and misunderstandings.
-
B.
Annabel Elliot
Annabel Elliot is a British interior designer and antiques dealer best known as the younger sister of Queen Camilla.
-
C.
Marianne
Marianne was a 19th-century Dutch princess of the House of Orange-Nassau, known for her independent spirit, unconventional personal life, and extensive patronage of the arts and architecture.
-
D.
Marianne
Marianne is the national personification of the French Republic, symbolizing liberty, reason, and the values of the nation.
-
E.
Marianne
Marianne is the central female figure addressed in Leonard Cohen's song "So Long, Marianne," widely recognized as a muse-like character in his work.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87485d5c819096ae574b1badc9d5 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf411d608c8190a672e336e6f3954d |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:04 p.m.