Triple
T28215744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Starr |
E711307
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
American College of Cardiology Distinguished Scientist Award
The American College of Cardiology Distinguished Scientist Award is a prestigious honor recognizing individuals who have made exceptional and sustained contributions to cardiovascular research and scientific advancement.
|
E1809535
|
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: American College of Cardiology Distinguished Scientist Award | Statement: [Albert Starr, awardReceived, American College of Cardiology Distinguished Scientist Award]
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: American College of Cardiology Distinguished Scientist Award Triple: [Albert Starr, awardReceived, American College of Cardiology Distinguished Scientist Award]
Generated description
The American College of Cardiology Distinguished Scientist Award is a prestigious honor recognizing individuals who have made exceptional and sustained contributions to cardiovascular research and scientific advancement.
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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6434d0930819098cb7b8c35b0ae52 |
completed | May 2, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15e6c2690c8190874a1a3e9a68eb9f |
completed | May 26, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_6a15e7d2fef48190afc3d5ee7901ebac |
completed | May 26, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15fcfcbb94819096d38b205a60ba4a |
completed | May 26, 2026, 8:05 p.m. |
Created at: April 27, 2026, 10:42 p.m.