Triple
T21399038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence |
E527861
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Flossie |
—
|
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: Flossie | Statement: [Florence, shortForm, Flossie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flossie Context triple: [Florence, shortForm, Flossie]
-
A.
Flossie
Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
-
B.
Flossie
chosen
Flossie is the nickname of the ICT 1301, a large early 1960s British mainframe computer preserved as a historic example of mid-20th-century computing technology.
-
C.
Fifi
Fifi is a diminutive or affectionate nickname commonly used for the given name Josephine.
-
D.
Fifi
Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
-
E.
Fifi
Fifi is a white poodle from the Peanuts franchise, known as Snoopy’s love interest and fellow World War I Flying Ace.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.