Triple
T6148981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chivas USA |
E137148
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Brad Guzan |
E231868
|
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: Brad Guzan | Statement: [Chivas USA, notablePlayer, Brad Guzan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Guzan Context triple: [Chivas USA, notablePlayer, Brad Guzan]
-
A.
Brad Guzan
chosen
Brad Guzan is an American professional soccer goalkeeper known for his long MLS career and for representing the United States national team, including at multiple major international tournaments.
-
B.
Tim Howard
Tim Howard is an American former professional soccer goalkeeper best known for his long career with the U.S. Men’s National Team and clubs including Everton in the English Premier League.
-
C.
Marcus Gerber
Marcus Gerber is a fictional character from the film "Burlesque."
-
D.
Stefan Frei
Stefan Frei is a Swiss-American professional soccer goalkeeper best known for his standout performances with Seattle Sounders FC in Major League Soccer.
-
E.
Matt Turner
Matt Turner is a video game writer best known for his work on the historical action-adventure title Assassin's Creed III.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce21820819096be9159d6b70a5f |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13608944481909e22df6131a06e41 |
completed | March 23, 2026, 12:46 p.m. |
Created at: March 22, 2026, 4:16 p.m.