Triple
T7138708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessie |
E166381
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Fanny |
E287859
|
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: Fanny | Statement: [Bessie, relative, Fanny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fanny Context triple: [Bessie, relative, Fanny]
-
A.
Fanny
Fanny is one of the central child protagonists in Enid Blyton’s classic fantasy series "The Magic Faraway Tree," known for her adventurous spirit and explorations of the magical lands at the top of the tree.
-
B.
Fanny
Fanny is a 1961 romantic drama film adaptation of Marcel Pagnol’s works, best known for starring French actress Leslie Caron.
-
C.
Fanny
chosen
Fanny is a feminine given name commonly used in various European and English-speaking countries.
-
D.
Fanny Aubrey
Fanny Aubrey is a fictional daughter of Royal Navy captain Jack Aubrey in Patrick O’Brian’s Aubrey–Maturin historical novel series.
-
E.
Fanny Dashwood
Fanny Dashwood is a selfish and manipulative character in Jane Austen's novel "Sense and Sensibility," known for her greed and unkind treatment of her in-laws.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e694cc3c81908b0d54c2496a0722 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8e72bf081909bb63a4b6f2613df |
completed | March 28, 2026, 11:17 a.m. |
Created at: March 27, 2026, 2:45 p.m.