Triple
T27267721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Alvia Smith |
E687951
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object |
Forest Lawn Memorial Park, Burnaby, British Columbia, Canada
Forest Lawn Memorial Park in Burnaby, British Columbia, Canada, is a large cemetery and memorial park known as the final resting place of numerous notable Canadians, including war heroes and public figures.
|
E1762949
|
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: Forest Lawn Memorial Park, Burnaby, British Columbia, Canada | Statement: [Ernest Alvia Smith, burialPlace, Forest Lawn Memorial Park, Burnaby, British Columbia, Canada]
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: Forest Lawn Memorial Park, Burnaby, British Columbia, Canada Triple: [Ernest Alvia Smith, burialPlace, Forest Lawn Memorial Park, Burnaby, British Columbia, Canada]
Generated description
Forest Lawn Memorial Park in Burnaby, British Columbia, Canada, is a large cemetery and memorial park known as the final resting place of numerous notable Canadians, including war heroes and public figures.
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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f626f45a1481909200fc3f7fda8a61 |
completed | May 2, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12628b6a148190879f74e1ac22ffc8 |
completed | May 24, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_6a1266920d008190b029acd1c8efc214 |
completed | May 24, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1266f0b7448190a158f776016efacd |
completed | May 24, 2026, 2:48 a.m. |
Created at: April 27, 2026, 10:57 a.m.