Triple
T18135026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navid Negahban |
E434113
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Navid |
—
|
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: Navid | Statement: [Navid Negahban, givenName, Navid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navid Context triple: [Navid Negahban, givenName, Navid]
-
A.
Navid
chosen
Navid is a male given name of Persian origin commonly used in Iran and among Persian-speaking communities.
-
B.
Naviyd
Naviyd is a given name most notably borne by Naviyd Ely Raymond, the son of American R&B singer Usher.
-
C.
Nass
Nass is a surname most notably associated with the fictional character Annabeth Nass from the television series "Hart of Dixie."
-
D.
Faris
Faris is a masculine given name of Arabic origin commonly meaning "knight" or "horseman."
-
E.
Faris
Faris is the surname of American actress and comedian Anna Faris, known for her roles in the Scary Movie film series and various comedy projects.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0677088190aaf584882b3d74a1 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.