Triple
T10261150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naughty Dog |
E240599
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jak and Daxter |
E403910
|
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: Jak and Daxter | Statement: [Naughty Dog, notableWork, Jak and Daxter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jak and Daxter Context triple: [Naughty Dog, notableWork, Jak and Daxter]
-
A.
Jak and Daxter
chosen
Jak and Daxter is a popular action-adventure video game series by Naughty Dog known for its platforming, open-world exploration, and evolving narrative across multiple titles.
-
B.
Ratchet & Clank
Ratchet & Clank is a popular action-platformer video game series featuring a Lombax mechanic and his robot companion on comedic, sci-fi adventures across the galaxy.
-
C.
Daxter
Daxter is a wisecracking ottsel and the comedic sidekick protagonist from the Jak and Daxter video game series.
-
D.
The Jet Set
The Jet Set was an early name used by the American rock band The Byrds before they achieved fame in the mid-1960s.
-
E.
Crash Bandicoot
Crash Bandicoot is a popular platform video game franchise featuring a genetically enhanced bandicoot protagonist battling the evil Dr. Neo Cortex across colorful, obstacle-filled levels.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f1500c819089d569dbfce705b8 |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:32 a.m.