Triple
T21596174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafał |
E532904
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Raf |
—
|
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: Raf | Statement: [Rafał, shortForm, Raf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raf Context triple: [Rafał, shortForm, Raf]
-
A.
Raf
chosen
Raf is a common diminutive or nickname for the given name Rafael.
-
B.
Raff
Raff is the surname of Gideon Raff, an Israeli film and television director, screenwriter, and producer best known for creating the series that inspired the American show "Homeland."
-
C.
Rasool
"Rasool" is a spoken-word and musical track by Jill Scott that tells a poignant story of love, loss, and violence from her album *Beautifully Human: Words and Sounds Vol. 2*.
-
D.
Rasool
Rasool is an Indian film sound designer and audio engineer best known for his Academy Award–winning work on the film "Slumdog Millionaire."
-
E.
Rafha
Rafha is a town in northern Saudi Arabia near the Iraqi border, known historically as a stop along regional trade and pilgrimage routes.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae15a7c819081627450ae726b0b |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.