Triple
T22254693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zulu |
E550067
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stanley 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: Stanley Baker | Statement: [Zulu, producer, Stanley Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanley Baker Context triple: [Zulu, producer, Stanley Baker]
-
A.
Stanley Baker
chosen
Stanley Baker was a Welsh actor and film producer known for his intense screen presence and prominent roles in British cinema of the 1950s and 1960s.
-
B.
John Gavin
John Gavin was an American film actor and diplomat best known for his leading roles in classic films of the late 1950s and early 1960s, including "Psycho" and "Imitation of Life."
-
C.
Harold Beatty
Harold Beatty is a songwriter best known for co-writing the Christina Aguilera track "Slow Down Baby."
-
D.
Brian Aherne
Brian Aherne was a British-born actor known for his distinguished stage and film career in Hollywood during the mid-20th century, often portraying suave, authoritative characters.
-
E.
Alan Baxter
Alan Baxter was an American character actor known for his roles in mid-20th-century film and television, often portraying tough or villainous figures.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c1d70881908df47b0f818c0022 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.