Triple
T19257739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankie |
E481558
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Frankie |
—
|
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: Frankie | Statement: [Frankie, hasTitle, Frankie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankie Context triple: [Frankie, hasTitle, Frankie]
-
A.
Frankie
Frankie is a character from the 2020 supernatural horror film "The Craft: Legacy," which continues the story of teenage witches exploring power and identity.
-
B.
Frankie
"Frankie" is a 1985 hit single by the American vocal group Sister Sledge, known for its catchy pop-soul style and chart-topping success in the UK.
-
C.
Frankie
Frankie is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Francis or Franklin.
-
D.
Frankie
Frankie is a character in the 1961 film "Lola," a French New Wave romantic drama directed by Jacques Demy.
-
E.
Frankie
Frankie is the central protagonist of the film "The Business," around whom the story’s criminal underworld drama revolves.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb862f848190977987e0327ce41d |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:28 p.m.