Triple
T16282176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Seale |
E395292
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Douglas Seale |
—
|
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: Douglas Seale | Statement: [Douglas Seale, name, Douglas Seale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas Seale Context triple: [Douglas Seale, name, Douglas Seale]
-
A.
Douglas Seale
chosen
Douglas Seale was a British actor and voice artist known for his character roles in film, television, and animation, including work with Disney.
-
B.
Douglas Pike
Douglas Pike was a prominent American diplomat and scholar known for his influential analyses of the Viet Cong and the Vietnam War.
-
C.
Richard Oakes
Richard Oakes was a Mohawk Native American activist best known for helping lead the 1969–1971 occupation of Alcatraz Island, a landmark protest in the Red Power movement.
-
D.
Allen M. Davey
Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
-
E.
John Sewell
John Sewell is a former English footballer and manager best known for his involvement in North American soccer, including coaching in the NASL.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24911f11881909c98ddf829f077e9 |
completed | April 17, 2026, 2:52 p.m. |
Created at: April 10, 2026, 5:05 a.m.