Triple
T12302178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis |
E293255
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Franny |
E76953
|
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: Franny | Statement: [Francis, shortForm, Franny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franny Context triple: [Francis, shortForm, Franny]
-
A.
Franny
chosen
Franny is a common diminutive or nickname for the given name Frances.
-
B.
Franny Mathison
Franny Mathison is the young daughter of CIA officer Carrie Mathison in the television series "Homeland."
-
C.
Marnie
Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
-
D.
Franny Berry
Franny Berry is a central character in John Irving's novel "The Hotel New Hampshire," known for her resilience, trauma, and complex relationships within the eccentric Berry family.
-
E.
Frankie
Frankie is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Francis or Franklin.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edb59908190bcef9d0cdc11081f |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7d757881908ac6af2b70a6dafe |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.