Triple
T21991791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florian |
E543106
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Flo |
—
|
NE NERFINISHED |
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: Flo | Statement: [Florian, hasShortForm, Flo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flo Context triple: [Florian, hasShortForm, Flo]
-
A.
Flo
Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
-
B.
Flo
Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
-
C.
Flo
Flo is a Turkish film directed by Geoffrey Lewis, recognized as one of his notable works.
-
D.
Flo
Flo is a Norwegian surname most notably borne by former professional footballer Tore André Flo, who played as a striker for clubs such as Chelsea and the Norway national team.
-
E.
FLO
FLO is the Norwegian Defence Logistics Organisation, responsible for procuring, managing, and maintaining materiel and logistics support for Norway’s armed forces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270e951081908deda039b47ca84b |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.