Triple
T16624648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jak |
E403914
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Count Veger |
E1224653
|
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 Veger | Statement: [Jak, enemy, Count Veger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count Veger Context triple: [Jak, enemy, Count Veger]
-
A.
Count Veger
chosen
Count Veger is a primary antagonist in the Jak and Daxter video game series, known as a power-hungry Haven City official obsessed with controlling eco and seizing political power.
-
B.
Count Scarlioni
Count Scarlioni is the suave, time-fractured alien antagonist in the Doctor Who serial "City of Death," posing as an aristocratic art collector in Paris while orchestrating a scheme involving multiple Mona Lisas.
-
C.
Karl Vash
Karl Vash was a cinematographer known for his work on the Nazi propaganda film "Triumph des Willens" directed by Leni Riefenstahl.
-
D.
Count von Krolock
Count von Krolock is a charismatic, aristocratic vampire noble who serves as the central antagonist in Roman Polanski’s horror-comedy film "The Fearless Vampire Killers."
-
E.
Victor Feldbrill
Victor Feldbrill was a prominent Canadian conductor known for championing Canadian composers and leading major orchestras across the country.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37550ee308190931fd50aeebe1e7e |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b7b94481909dfc0dd7b009a5b4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.