Triple
T14455971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Pretty Things (2002 film) |
E358459
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Okwe |
E860664
|
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: Okwe | Statement: [Dirty Pretty Things (2002 film), character, Okwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okwe Context triple: [Dirty Pretty Things (2002 film), character, Okwe]
-
A.
Okwe
Okwe is a town in Imo State, southeastern Nigeria, known as the administrative center of the Onuimo local government area.
-
B.
Okwe
chosen
Okwe is the resourceful Nigerian immigrant protagonist of the 2002 British thriller film "Dirty Pretty Things," who works illegally in London and uncovers a grim organ-trafficking scheme.
-
C.
Okpe
Okpe is one of the principal subgroups of the Urhobo people of southern Nigeria, known for its distinct cultural identity and traditional institutions.
-
D.
Ogwumike
Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
-
E.
Oke Oyi
Oke Oyi is a town in Kwara State, Nigeria, serving as the administrative headquarters of Ilorin East Local Government Area.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649177108190be32af72dcae04ee |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.