Triple
T20666876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnostic Front |
E507915
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Pokey Mo
Pokey Mo is a drummer best known for his work with the New York hardcore punk band Agnostic Front.
|
E1444614
|
NE FINISHED |
How this triple was built (4 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 Mo | Statement: [Agnostic Front, hasMember, Pokey Mo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pokey Mo Context triple: [Agnostic Front, hasMember, Pokey Mo]
-
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
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.
Pootie Tang
Pootie Tang is a 2001 satirical comedy film, based on a sketch from The Chris Rock Show, about a cool, nonsensical hero who battles corporate exploitation of inner-city youth.
-
E.
Paste-Pot Pete
Paste-Pot Pete is a Marvel Comics supervillain, later known as the Trapster, who uses powerful adhesive-based weaponry to battle heroes like the Human Torch and the Fantastic Four.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pokey Mo Triple: [Agnostic Front, hasMember, Pokey Mo]
Generated description
Pokey Mo is a drummer best known for his work with the New York hardcore punk band Agnostic Front.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pokey Mo Target entity description: Pokey Mo is a drummer best known for his work with the New York hardcore punk band Agnostic Front.
-
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
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.
Pootie Tang
Pootie Tang is a 2001 satirical comedy film, based on a sketch from The Chris Rock Show, about a cool, nonsensical hero who battles corporate exploitation of inner-city youth.
-
E.
Paste-Pot Pete
Paste-Pot Pete is a Marvel Comics supervillain, later known as the Trapster, who uses powerful adhesive-based weaponry to battle heroes like the Human Torch and the Fantastic Four.
- F. None of above. chosen
Provenance (5 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5fc3e081909087414333b2615e |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175eefc8190a5178c0f70f7d79f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d23e8ac48190be1726c8e4913b1a |
completed | May 16, 2026, 8:23 p.m. |
Created at: April 16, 2026, 11:44 a.m.