Triple
T33821891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamela Jelimo |
E866847
|
entity |
| Predicate | representedCountryAtEvent |
P1315
|
FINISHED |
| Object |
Kenya at the 2008 Summer Olympics
Kenya at the 2008 Summer Olympics refers to the nation’s participation in the Beijing Games, where its athletes—especially in middle- and long-distance running—achieved a record medal haul and international acclaim.
|
E2069657
|
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: Kenya at the 2008 Summer Olympics | Statement: [Pamela Jelimo, representedCountryAtEvent, Kenya at the 2008 Summer Olympics]
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: Kenya at the 2008 Summer Olympics Triple: [Pamela Jelimo, representedCountryAtEvent, Kenya at the 2008 Summer Olympics]
Generated description
Kenya at the 2008 Summer Olympics refers to the nation’s participation in the Beijing Games, where its athletes—especially in middle- and long-distance running—achieved a record medal haul and international acclaim.
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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fffd58008190b8a5cdf852904b59 |
completed | May 3, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a366ea0cd6081908e966a41c64d29c8 |
completed | June 20, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a366f697ba4819087c98bacf069e707 |
completed | June 20, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3670cc13ec8190975f7d3bc74eb00f |
completed | June 20, 2026, 10:51 a.m. |
Created at: May 1, 2026, 1:46 a.m.