Triple
T27629944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gastón Gonnet |
E696308
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
New Oxford English Dictionary project at University of Waterloo
The New Oxford English Dictionary project at the University of Waterloo was a pioneering computational linguistics and text-processing initiative that applied advanced computer methods to analyze and manage the Oxford English Dictionary.
|
E1780525
|
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: New Oxford English Dictionary project at University of Waterloo | Statement: [Gastón Gonnet, notableWork, New Oxford English Dictionary project at University of Waterloo]
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: New Oxford English Dictionary project at University of Waterloo Triple: [Gastón Gonnet, notableWork, New Oxford English Dictionary project at University of Waterloo]
Generated description
The New Oxford English Dictionary project at the University of Waterloo was a pioneering computational linguistics and text-processing initiative that applied advanced computer methods to analyze and manage the Oxford English Dictionary.
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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63122c45c8190a6692f11dcf0e62f |
completed | May 2, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12d0f939b08190b478f32c0c590f8c |
completed | May 24, 2026, 10:20 a.m. |
| NEDg | Description generation | batch_6a12d1a71800819081268f9b793c0c66 |
completed | May 24, 2026, 10:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12d2747f6881909aa2a5b0c389a494 |
completed | May 24, 2026, 10:27 a.m. |
Created at: April 27, 2026, 2:20 p.m.