Triple
T19895998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billion Dollar Brain |
E478153
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Harry 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: Harry Palmer | Statement: [Billion Dollar Brain, character, Harry Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Palmer Context triple: [Billion Dollar Brain, character, Harry Palmer]
-
A.
Harry Palmer
chosen
Harry Palmer is a fictional British intelligence agent, popularized in a series of Cold War-era spy novels by Len Deighton and their film adaptations starring Michael Caine.
-
B.
Harry Palmer
Harry Palmer is the central protagonist of the musical film "For Me and My Gal," around whom the story’s romantic and dramatic events revolve.
-
C.
Andy Starke
Andy Starke is a British film producer known for his work on distinctive independent and genre films, including projects with the production company Rook Films.
-
D.
Ben Richards
Ben Richards is a British television writer and novelist known for creating and scripting several acclaimed drama series.
-
E.
Sidney Pollard
Sidney Pollard was a British economic historian known for his influential work on European industrialization and regional economic development.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593cb45881909cc34a9c601db001 |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.