Triple
T14839773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrell Roodt |
E348928
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sarafina! 2 |
E62321
|
NE FINISHED |
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: Sarafina! 2 | Statement: [Darrell Roodt, notableWork, Sarafina! 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarafina! 2 Context triple: [Darrell Roodt, notableWork, Sarafina! 2]
-
A.
Sarafina!
chosen
Sarafina! is a 1992 South African musical drama film about a young girl’s coming-of-age during the Soweto uprising against apartheid.
-
B.
Fataleka
Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
-
C.
Fanaa
Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
-
D.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
E.
Serving Sara
Serving Sara is a 2002 romantic comedy film starring Elizabeth Hurley and Matthew Perry, centered on a process server whose job goes awry when he helps the woman he's supposed to serve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a9eb9481908ca509f484007cf6 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:53 a.m.