Triple
T3630999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franny |
E76953
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object | Frannie |
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: Frannie | Statement: [Franny, spellingVariantOf, Frannie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frannie Context triple: [Franny, spellingVariantOf, Frannie]
-
A.
Franny
chosen
Franny is a common diminutive or nickname for the given name Frances.
-
B.
Frannie Goldsmith
Frannie Goldsmith is a central protagonist in Stephen King’s post-apocalyptic novel "The Stand," known for her resilience, moral strength, and role in humanity’s struggle to rebuild after a devastating plague.
-
C.
Maura
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
-
D.
Valerie
"Valerie" is a 1957 American Western film starring Sterling Hayden, loosely inspired by the Rashomon-style multiple-perspective narrative.
-
E.
Clemmie
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30136e88190922bb542971b5239 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f16ba748190a2059804305e55ab |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.