Triple
T8643973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francine |
E204725
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Fran |
E77813
|
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: Fran | Statement: [Francine, hasDiminutiveForm, Fran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fran Context triple: [Francine, hasDiminutiveForm, Fran]
-
A.
Fran
chosen
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
B.
Franc
The franc is a former primary currency used in several European and African countries, most notably France and Switzerland, before largely being replaced by the euro in the Eurozone.
-
C.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
D.
France Gall
France Gall was a popular French yé-yé singer and Eurovision winner who became a major figure in French pop music from the 1960s onward.
-
E.
Frant
Frant is a village and civil parish in East Sussex, England, known for its historic church, traditional village green, and rural Wealden countryside setting.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4798852881909c03c5eadf805e49 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc42922c819099a464d2e347dec4 |
completed | April 2, 2026, 6:58 p.m. |
Created at: March 30, 2026, 6:28 p.m.