Triple
T21399036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence |
E527861
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Florrie |
—
|
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: Florrie | Statement: [Florence, shortForm, Florrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florrie Context triple: [Florence, shortForm, Florrie]
-
A.
Florrie
chosen
Florrie is a character associated with Alex the Lion from the Madagascar franchise, depicted as a member of his family.
-
B.
Florrie Dugger
Florrie Dugger is an American former child actress best known for playing the female lead, Blousey Brown, in the 1976 musical gangster film "Bugsy Malone."
-
C.
Florbella
Florbella is a character from the 1969 Japanese kaiju film "Gamera vs. Guiron," appearing as one of the children involved in the interplanetary adventure alongside the giant turtle monster Gamera.
-
D.
Florrie Palmer
Florrie Palmer is a British songwriter best known for penning Sheena Easton’s hit single "Morning Train (Nine to Five)."
-
E.
Fleur
Fleur is a feminine given name of French origin meaning "flower," often used as a middle name in English-speaking countries.
- 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.