Triple
T10202010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doom (2005 film) |
E238904
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Deobia Oparei |
E285406
|
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: Deobia Oparei | Statement: [Doom (2005 film), starring, Deobia Oparei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deobia Oparei Context triple: [Doom (2005 film), starring, Deobia Oparei]
-
A.
DeObia Oparei
chosen
DeObia Oparei is a British actor and playwright known for his roles in film and television, including appearances in projects like Game of Thrones and various major studio movies.
-
B.
Tafi Agome
Tafi Agome is a village where the Tafi language is traditionally spoken, likely located in the Volta Region of Ghana.
-
C.
Titi Owusu Addo
Titi Owusu Addo is the daughter of Ghanaian rapper Sarkodie and is occasionally mentioned in media related to his personal life.
-
D.
Bassey Otu
Bassey Otu is a Nigerian politician serving as the governor of Cross River State.
-
E.
Aggrey Awori
Aggrey Awori was a Ugandan politician, former minister, and opposition figure known for his presidential bid and earlier career as a diplomat and academic.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee4239c08190b40f5cc19c3db3c7 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317fcdf18819092d0f3f216edffdc |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.