Triple
T19593361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Russia House |
E470290
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Patrick Palmer |
—
|
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: Patrick Palmer | Statement: [The Russia House, producer, Patrick Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Palmer Context triple: [The Russia House, producer, Patrick Palmer]
-
A.
Patrick Palmer
chosen
Patrick Palmer is a film producer best known for his work on the action-horror sequel "Blade II."
-
B.
Patrick Palmer
Patrick Palmer is a film producer best known for his work on the 1979 legal drama "...And Justice for All."
-
C.
Lu Palmer
Lu Palmer was a prominent African American journalist, political activist, and radio commentator in Chicago known for his advocacy for civil rights and Black political empowerment.
-
D.
Philip Pugh
Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
-
E.
Michael Palmer
Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640782e2c8190b5baef07a2bdd015 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.