Triple
T1557319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Iron Mask |
E33235
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Roland Caulder |
E33235
|
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: Roland Caulder | Statement: [The Iron Mask, hasCastMember, Roland Caulder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Caulder Context triple: [The Iron Mask, hasCastMember, Roland Caulder]
-
A.
Roland Caulder
chosen
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
B.
Hugo Carmody
Hugo Carmody is a charming, somewhat hapless young gentleman from P. G. Wodehouse’s Blandings Castle stories, often embroiled in romantic entanglements and comic misadventures.
-
C.
Percival C. Wren
Percival C. Wren was a British writer best known for his adventure novel "Beau Geste," which inspired several film adaptations.
-
D.
Bren MacGuff
Bren MacGuff is the sharp-tongued, supportive stepmother character from the 2007 film "Juno," portrayed by Allison Janney.
-
E.
Nevil Macready
Nevil Macready was a British Army general best known for serving as Commander-in-Chief in Ireland during the Irish War of Independence.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908704d208190937af41c6454df4e |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401e12088190b6f0f5b0d8a423cf |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:27 p.m.