Triple
T33794566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphonso McAuley |
E866032
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Orsten Artis in Glory Road
Orsten Artis in *Glory Road* is a character based on the real-life guard from the 1966 Texas Western Miners basketball team that made history by winning the NCAA championship with an all-Black starting lineup.
|
E2067134
|
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: Orsten Artis in Glory Road | Statement: [Alphonso McAuley, hasRole, Orsten Artis in Glory Road]
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: Orsten Artis in Glory Road Triple: [Alphonso McAuley, hasRole, Orsten Artis in Glory Road]
Generated description
Orsten Artis in *Glory Road* is a character based on the real-life guard from the 1966 Texas Western Miners basketball team that made history by winning the NCAA championship with an all-Black starting lineup.
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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ff4099b4819087cd0c6d4f8c9441 |
completed | May 3, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36659417fc8190a9bff65d7f058828 |
completed | June 20, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a3666278c4881909b3c78717931f336 |
completed | June 20, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3666c1d1b881908654acaa4b5898ec |
completed | June 20, 2026, 10:09 a.m. |
Created at: May 1, 2026, 1:46 a.m.