Triple
T7595203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flash Gordon |
E179840
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Dr. Hans Zarkov |
E410034
|
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: Dr. Hans Zarkov | Statement: [Flash Gordon, character, Dr. Hans Zarkov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Hans Zarkov Context triple: [Flash Gordon, character, Dr. Hans Zarkov]
-
A.
Dr. Hans Zarkov
chosen
Dr. Hans Zarkov is a brilliant but eccentric scientist and ally of Flash Gordon in the classic science fiction adventure series.
-
B.
Max Zorin
Max Zorin is the main villain in the James Bond film "A View to a Kill," a ruthless industrialist plotting to destroy Silicon Valley for financial gain.
-
C.
Dr. Petrov
Dr. Petrov is a minor Soviet medical officer aboard the submarine Red October in Tom Clancy’s Cold War thriller "The Hunt for Red October."
-
D.
Dr. Martin Brenner
Dr. Martin Brenner is a central antagonist in the TV series "Stranger Things," a cold and manipulative scientist who leads secret government experiments on children with psychic abilities.
-
E.
Dr. Werner Klopek
Dr. Werner Klopek is the mysterious and unsettling neighbor suspected of dark secrets in the dark comedy film "The 'Burbs."
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8619d6f2081908c8b589d4106691f |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:53 p.m.