Triple
T3773871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2022 |
E83259
|
entity |
| Predicate | homeTeamCoach |
P5835
|
FINISHED |
| Object | Steve Cherundolo |
E213184
|
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: Steve Cherundolo | Statement: [MLS Cup 2022, homeTeamCoach, Steve Cherundolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Cherundolo Context triple: [MLS Cup 2022, homeTeamCoach, Steve Cherundolo]
-
A.
Steve Cherundolo
chosen
Steve Cherundolo is a former U.S. international defender and longtime Hannover 96 stalwart who became a successful Major League Soccer head coach.
-
B.
Bryan Donovan
Bryan Donovan is one of the children of American basketball coach Billy Donovan.
-
C.
Mark Sampson
Mark Sampson is a Welsh football coach best known for managing the England women's national team, leading them to a third-place finish at the 2015 FIFA Women's World Cup.
-
D.
David Rawlins
David Rawlins is a film editor best known for his work on movies such as the thriller "The Osterman Weekend."
-
E.
Eric Mangini
Eric Mangini is an American football coach best known for serving as head coach of the New York Jets and Cleveland Browns in the NFL.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc594c50819099ab5ac1b82f61a6 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e52ebd988190b6e3a7d8069b74be |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.