Triple
T37468609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bones Brigade |
E931094
|
entity |
| Predicate | era |
P200
|
FINISHED |
| Object |
Golden Age of 1980s skateboarding
The Golden Age of 1980s skateboarding was a transformative period marked by the rise of professional teams, innovative street and vert styles, and influential videos that helped push skateboarding into mainstream youth culture.
|
E2229480
|
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: Golden Age of 1980s skateboarding | Statement: [Bones Brigade, era, Golden Age of 1980s skateboarding]
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: Golden Age of 1980s skateboarding Triple: [Bones Brigade, era, Golden Age of 1980s skateboarding]
Generated description
The Golden Age of 1980s skateboarding was a transformative period marked by the rise of professional teams, innovative street and vert styles, and influential videos that helped push skateboarding into mainstream youth culture.
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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8e3b99288190990f7896a8f17b7b |
completed | May 6, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c36f614819086bf8c014d9f6f5c |
completed | June 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a408de6d5208190ab2224b2fbdb1ee5 |
completed | June 28, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a408ecbdde0819096614ac9298e3de8 |
completed | June 28, 2026, 3:02 a.m. |
Created at: May 3, 2026, 4:17 p.m.