Triple
T22838482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Words and Pictures |
E566010
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Ian Baker |
—
|
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: Ian Baker | Statement: [Words and Pictures, cinematographyBy, Ian Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Baker Context triple: [Words and Pictures, cinematographyBy, Ian Baker]
-
A.
Ian Baker
chosen
Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
-
B.
Marcus Baker
Marcus Baker was an American geographer and explorer known for his pioneering work in mapping and studying the Alaskan region.
-
C.
Theo Baker
Theo Baker is an author known for collaborating with Lin Oliver on children’s and young adult literature.
-
D.
Graham Baker
Graham Baker is a British film director and screenwriter best known for genre films such as "Omen III: The Final Conflict" and the science fiction movie "Alien Nation."
-
E.
Phil Baker
Phil Baker was an American comedian and radio personality who appeared in films and was known for his vaudeville and radio work in the early to mid-20th century.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.