Triple
T29820641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Bourque |
E757233
|
entity |
| Predicate | representedCountryAtEvent |
P1315
|
FINISHED |
| Object |
United States at the 2018 Winter Olympics
The United States at the 2018 Winter Olympics refers to the American national team that competed in the Pyeongchang Winter Games across multiple sports, earning a range of medals and featuring athletes such as ice hockey player Chris Bourque.
|
E1888039
|
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: United States at the 2018 Winter Olympics | Statement: [Chris Bourque, representedCountryAtEvent, United States at the 2018 Winter 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: United States at the 2018 Winter Olympics Triple: [Chris Bourque, representedCountryAtEvent, United States at the 2018 Winter Olympics]
Generated description
The United States at the 2018 Winter Olympics refers to the American national team that competed in the Pyeongchang Winter Games across multiple sports, earning a range of medals and featuring athletes such as ice hockey player Chris Bourque.
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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f675675250819089db3b30f1f05f87 |
completed | May 2, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26e5f9d8948190b7fdb1f8fe6ef128 |
completed | June 8, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_6a26e7d464848190a01f819d89272d92 |
completed | June 8, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a26ebc90ef8819093125e65021e4169 |
completed | June 8, 2026, 4:20 p.m. |
Created at: April 29, 2026, 5:29 p.m.