Triple
T5964194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 1999 |
E132711
|
entity |
| Predicate | homeTeamManager |
P42666
|
FINISHED |
| Object | Thomas Rongen |
E156867
|
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: Thomas Rongen | Statement: [MLS Cup 1999, homeTeamManager, Thomas Rongen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Rongen Context triple: [MLS Cup 1999, homeTeamManager, Thomas Rongen]
-
A.
Thomas Rongen
chosen
Thomas Rongen is a Dutch-American soccer coach and former player known for his extensive coaching career in Major League Soccer and with various U.S. national youth teams.
-
B.
John Van Tongeren
John Van Tongeren is a film and television composer known for scoring movies such as "Miss Congeniality 2: Armed and Fabulous."
-
C.
Pieter R. de Jong
Pieter R. de Jong is a Dutch professional who studied at Utrecht University and is recognized as a notable alumnus for his contributions in his field.
-
D.
Jan T. Kleyna
Jan T. Kleyna is an astronomer known for discovering outer irregular moons of Jupiter, including Taygete.
-
E.
Don Roos
Don Roos is an American screenwriter and film director known for his sharp, darkly comedic dramas such as "The Opposite of Sex" and "Happy Endings."
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a0240cc81909d7c75c7e6d630f7 |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12505bb8c8190a2f509e9615d0dcd |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:03 p.m.