Triple
T22336293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sven Groeneveld |
E552154
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Mary Pierce |
—
|
NE NERFINISHED |
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: Mary Pierce | Statement: [Sven Groeneveld, hasWorkedWith, Mary Pierce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Pierce Context triple: [Sven Groeneveld, hasWorkedWith, Mary Pierce]
-
A.
Mary Pierce
chosen
Mary Pierce is a retired French-American professional tennis player and multiple Grand Slam singles and doubles champion.
-
B.
Sarah Pierce
Sarah Pierce was an early American educator best known for establishing one of the first and most influential schools for young women in the United States.
-
C.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
D.
Karen Pierce
Karen Pierce is a British diplomat who has served in several senior roles, including as the United Kingdom’s Ambassador to the United States and previously as the UK’s Permanent Representative to the United Nations.
-
E.
Serena Rathbun
Serena Rathbun is an American costume designer known for her work on films such as "Little Children" and "In the Bedroom."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577f2f208190ac6270ac4581fa15 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.