Triple
T21898379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Innkeepers |
E540742
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peter Phok |
—
|
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: Peter Phok | Statement: [The Innkeepers, producer, Peter Phok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Phok Context triple: [The Innkeepers, producer, Peter Phok]
-
A.
Peter Phok
chosen
Peter Phok is an American film producer known for his work on independent horror and genre films.
-
B.
Peter Mathuki
Peter Mathuki is a Kenyan diplomat and regional integration expert who serves as the Secretary General of the East African Community, overseeing the bloc’s policies and coordination among member states.
-
C.
Terry Pheto
Terry Pheto is a South African actress best known internationally for her roles in films such as "Tsotsi" and "Mandela: Long Walk to Freedom."
-
D.
Tony Kgoroge
Tony Kgoroge is a South African actor known for his roles in prominent films and television series, particularly those depicting South African history and social issues.
-
E.
Phil Gubala
Phil Gubala is a notable resident associated with the community of Affton, Missouri.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc8c2108190b55ff1ba3badc9fb |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.