Triple
T33281458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Side Nut Club Fall Festival |
E852054
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object |
West Side Nut Club
West Side Nut Club is a civic and social organization in Evansville, Indiana, best known for hosting one of the largest annual street festivals in the United States.
|
E2042875
|
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: West Side Nut Club | Statement: [West Side Nut Club Fall Festival, organizer, West Side Nut Club]
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: West Side Nut Club Triple: [West Side Nut Club Fall Festival, organizer, West Side Nut Club]
Generated description
West Side Nut Club is a civic and social organization in Evansville, Indiana, best known for hosting one of the largest annual street festivals in the United States.
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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6de64c2b4819094d214db958bf47d |
completed | May 3, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a353925d38c819091cab70d064e624f |
completed | June 19, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_6a3539c0daf88190b8f926d01b6c745e |
completed | June 19, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a353a2156248190b503b83c3689e5de |
completed | June 19, 2026, 12:46 p.m. |
Created at: May 1, 2026, 1:32 a.m.