Triple
T13109939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subcon |
E310942
|
entity |
| Predicate | inhabitedBy |
P6481
|
FINISHED |
| Object | Pokey |
E1023037
|
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: Pokey | Statement: [Subcon, inhabitedBy, Pokey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pokey Context triple: [Subcon, inhabitedBy, Pokey]
-
A.
Pokey
Pokey is the nickname of Pokey Chatman, an American basketball coach known for her successful tenure in women’s college and professional basketball.
-
B.
Pokey
chosen
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.
-
C.
Pogo Joe
Pogo Joe is the nickname of Joe Caldwell, a former American professional basketball player known for his exceptional leaping ability.
-
D.
Rolly
Rolly is a diminutive form of the given name Roland, often used as a familiar or affectionate nickname.
-
E.
Pookie
Pookie is a tragic, crack-addicted informant character from the 1991 crime film "New Jack City," portrayed by Chris Rock.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadad81c8190881e6577e1c2a207 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:05 p.m.