Triple
T25816156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Bustamante y Rivero |
E650257
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object |
Doctor honoris causa (various universities)
Doctor honoris causa (various universities) is an honorary academic degree conferred by multiple universities to recognize an individual's outstanding contributions to a specific field or to society at large.
|
E1698233
|
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: Doctor honoris causa (various universities) | Statement: [José Bustamante y Rivero, honorificTitle, Doctor honoris causa (various universities)]
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: Doctor honoris causa (various universities) Triple: [José Bustamante y Rivero, honorificTitle, Doctor honoris causa (various universities)]
Generated description
Doctor honoris causa (various universities) is an honorary academic degree conferred by multiple universities to recognize an individual's outstanding contributions to a specific field or to society at large.
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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c915908190aea4b20f6b9b11b6 |
completed | May 2, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10da1fb11c8190b04a22f08ae54848 |
completed | May 22, 2026, 10:35 p.m. |
| NEDg | Description generation | batch_6a10dd1a43e48190992000544b46724b |
completed | May 22, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10df81838881908011d553f260e7a0 |
completed | May 22, 2026, 10:58 p.m. |
Created at: April 22, 2026, 7:26 a.m.