Triple
T15561693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Chiles |
E371014
|
entity |
| Predicate | notableTeammate |
P2649
|
FINISHED |
| Object | Sunisa Lee |
E866610
|
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: Sunisa Lee | Statement: [Jordan Chiles, notableTeammate, Sunisa Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunisa Lee Context triple: [Jordan Chiles, notableTeammate, Sunisa Lee]
-
A.
Kimberly Breland
Kimberly Breland is a character portrayed by Julia Garner in the television series "The Americans."
-
B.
Adria Biles
Adria Biles is the younger sister of American gymnastics superstar Simone Biles and has occasionally appeared in media alongside her famous sibling.
-
C.
Cheyenne Lee
Cheyenne Lee is a character from the TV series "Superstore," known as a young, quirky, and often naive Cloud 9 employee.
-
D.
Summer Lee
Summer Lee is a progressive Democratic U.S. Representative from Pennsylvania known for her advocacy on racial, economic, and environmental justice issues.
-
E.
Gabby Douglas
chosen
Gabby Douglas is an American artistic gymnast and Olympic all-around champion who became the first African American woman to win the individual all-around gold medal at the Olympics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddb4c0c81909b3f4c75c91f7f3f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456821988190971539b683f6c656 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.