Triple
T8538174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denethor II |
E202128
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | John Noble |
E213417
|
NE FINISHED |
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: John Noble | Statement: [Denethor II, portrayedBy, John Noble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Noble Context triple: [Denethor II, portrayedBy, John Noble]
-
A.
John Noble
chosen
John Noble is an Australian actor best known for his roles in the television series "Fringe" and the "Lord of the Rings" film trilogy.
-
B.
Michael Ramsey
Michael Ramsey was the 100th Archbishop of Canterbury, a prominent 20th-century Anglican church leader and theologian known for his ecumenical work and spiritual writings.
-
C.
Bob Gunton
Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
-
D.
Bruce Greenwood
Bruce Greenwood is a Canadian actor known for his versatile roles in film and television, including prominent performances in projects like "Star Trek," "Thirteen Days," and numerous acclaimed dramas.
-
E.
Jeff Morrow
Jeff Morrow was an American actor best known for his roles in mid-20th-century films and television, particularly in biblical epics and science fiction movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a5c2848190836c612597de83b7 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d953fd0819094958d2b5a5a8e13 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:18 p.m.