Triple
T17184840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naked Raygun |
E417077
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Pegboy
Pegboy is an American punk rock band from Chicago, formed in the early 1990s by former members of Naked Raygun and known for its melodic yet hard-edged sound.
|
E1256264
|
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: Pegboy | Statement: [Naked Raygun, associatedAct, Pegboy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pegboy Context triple: [Naked Raygun, associatedAct, Pegboy]
-
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.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
D.
Bootleg Pete
Bootleg Pete is a classic Disney villain character, typically portrayed as a burly, antagonistic foil to Mickey Mouse and his friends.
-
E.
Peg
"Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
- 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: Pegboy Triple: [Naked Raygun, associatedAct, Pegboy]
Generated description
Pegboy is an American punk rock band from Chicago, formed in the early 1990s by former members of Naked Raygun and known for its melodic yet hard-edged sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pegboy Target entity description: Pegboy is an American punk rock band from Chicago, formed in the early 1990s by former members of Naked Raygun and known for its melodic yet hard-edged sound.
-
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.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
-
D.
Bootleg Pete
Bootleg Pete is a classic Disney villain character, typically portrayed as a burly, antagonistic foil to Mickey Mouse and his friends.
-
E.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9556c881908ccaee4ef77dbe1f |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016184e0c0819099320b32bc471cad |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162692420819097b99a71ec470861 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.