Triple
T22336298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sven Groeneveld |
E552154
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Tommy Haas |
—
|
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: Tommy Haas | Statement: [Sven Groeneveld, hasWorkedWith, Tommy Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Haas Context triple: [Sven Groeneveld, hasWorkedWith, Tommy Haas]
-
A.
Tommy Haas
chosen
Tommy Haas is a retired German professional tennis player known for reaching a career-high ranking of world No. 2 and winning 15 ATP singles titles.
-
B.
Radomiro Tomic
Radomiro Tomic is a large open-pit copper mine in Chile named after the Chilean politician and mining advocate Radomiro Tomic Romero.
-
C.
Jürgen Erler
Jürgen Erler is a physicist recognized for his significant contributions to nuclear physics, honored as a laureate of the prestigious Lise Meitner Prize.
-
D.
Thomas Ravier
Thomas Ravier is a French politician who serves as the mayor of the town of Villefranche-sur-Saône.
-
E.
Tommy Martin
Tommy Martin is an actor known for his role in the television series "Public Morals."
- 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.