Triple
T6102822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Zaroff |
E136043
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Count Zaroff |
E136043
|
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: Count Zaroff | Statement: [Count Zaroff, fullName, Count Zaroff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count Zaroff Context triple: [Count Zaroff, fullName, Count Zaroff]
-
A.
Count Zaroff
chosen
Count Zaroff is the sophisticated yet sadistic Russian aristocrat and big-game hunter who notoriously stalks human prey on his isolated island in the 1932 film "The Most Dangerous Game."
-
B.
Elias Kane
Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
-
C.
Basil Zaharoff
Basil Zaharoff was a notorious early 20th-century international arms dealer and financier, often dubbed the "merchant of death" for his role in fueling conflicts through weapons sales.
-
D.
Robert Barrat
Robert Barrat was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
-
E.
Henry Tucker
Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254fbbf881908b7a3d07f0400387 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.