Triple
T19397693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comedian |
E485235
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Oliver Stapleton |
—
|
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: Oliver Stapleton | Statement: [The Comedian, cinematographyBy, Oliver Stapleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Stapleton Context triple: [The Comedian, cinematographyBy, Oliver Stapleton]
-
A.
Oliver Stapleton
chosen
Oliver Stapleton is a British cinematographer known for his versatile work across acclaimed films in both independent and mainstream cinema.
-
B.
Oliver Lacon
Oliver Lacon is a senior British intelligence bureaucrat in John le Carré’s George Smiley novels, serving as a high-ranking civil servant overseeing the Secret Service.
-
C.
Oliver Wallace
Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
-
D.
Oliver Martin
Oliver Martin is the romantic lead in the film "A Lot Like Love," whose evolving relationship with Emily over several years forms the heart of the story.
-
E.
Oliver Lambert
Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.