Triple
T13501860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Octopus Teacher |
E320911
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Craig Foster |
E320911
|
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: Craig Foster | Statement: [My Octopus Teacher, director, Craig Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Foster Context triple: [My Octopus Teacher, director, Craig Foster]
-
A.
Craig Foster
chosen
Craig Foster is a South African filmmaker and naturalist best known for co-directing and starring in the Oscar-winning documentary "My Octopus Teacher."
-
B.
Gary Foster
Gary Foster is a film producer best known for his work on major Hollywood movies such as the crime thriller "The Score."
-
C.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
D.
Paul Ferguson
Paul Ferguson is an English drummer best known as a founding member of the post-punk band Killing Joke.
-
E.
Phil Foster
Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75489e9908190b133937b5e92732d |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.