Triple
T17914097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan Goes to India |
E447881
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Paul Beeson |
—
|
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: Paul Beeson | Statement: [Tarzan Goes to India, cinematographyBy, Paul Beeson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Beeson Context triple: [Tarzan Goes to India, cinematographyBy, Paul Beeson]
-
A.
Paul Beeson
chosen
Paul Beeson was a British cinematographer known for his work on numerous feature films and television productions throughout the mid-20th century.
-
B.
Blake R. Beeson
Blake R. Beeson is a film editor known for his work on the science-fiction movie "After Earth."
-
C.
Eric L. Beason
Eric L. Beason is a film editor best known for his work on major Hollywood productions, including the superhero blockbuster "Spider-Man 3."
-
D.
Andrew W. Bogue
Andrew W. Bogue was a United States federal judge recognized for his service on the bench, particularly in South Dakota.
-
E.
Paul Bales
Paul Bales is a film producer known for his work on low-budget genre movies, including the fantasy action film "Avengers Grimm."
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30461848190b932a45807329216 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.