Triple
T21975126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari 400 |
E542685
|
entity |
| Predicate | audioChip |
P32170
|
FINISHED |
| Object | POKEY |
—
|
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: POKEY | Statement: [Atari 400, audioChip, POKEY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: POKEY Context triple: [Atari 400, audioChip, POKEY]
-
A.
POKEY
chosen
POKEY is a custom Atari audio and I/O chip best known for generating sound and handling keyboard and controller input in Atari 8-bit computers and arcade systems.
-
B.
Pokey
Pokey is the nickname of Pokey Chatman, an American basketball coach known for her successful tenure in women’s college and professional basketball.
-
C.
Pokey
Pokey is a recurring cactus-like enemy character in Nintendo’s Mario series, known for its stacked body segments and appearance in desert-themed levels.
-
D.
Pokey Mo
Pokey Mo is a drummer best known for his work with the New York hardcore punk band Agnostic Front.
-
E.
POK
POK is the National Rail station code for Pokesdown railway station in Bournemouth, England.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12487a1a88190abb8a51fcd533b6a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.