Triple
T16247592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua Logan |
E394413
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fanny |
E236632
|
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: [Joshua Logan, notableWork, Fanny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fanny Context triple: [Joshua Logan, notableWork, 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 feminine given name commonly used in various European and English-speaking countries.
-
C.
Fanny
chosen
Fanny is a 1961 romantic drama film adaptation of Marcel Pagnol’s works, best known for starring French actress Leslie Caron.
-
D.
Fanny
Fanny is a central character in the Swedish dark comedy-drama film "Force Majeure," which explores family dynamics and moral dilemmas during a ski vacation in the French Alps.
-
E.
Fanny Harker
Fanny Harker is a notable individual who shares the surname Harker, recognized enough to be specifically identified among bearers of the name.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245942460819080897afad0d2fe09 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee3bbc48190a56ce2807a9510f0 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.