Triple
T392102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Fire FC |
E8902
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object | Frank Klopas |
E102706
|
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: Frank Klopas | Statement: [Chicago Fire FC, headCoach, Frank Klopas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Klopas Context triple: [Chicago Fire FC, headCoach, Frank Klopas]
-
A.
Frank Klopas
chosen
Frank Klopas is a Greek-American former professional soccer player and coach best known for his long-standing association with the Chicago Fire as both a player and manager.
-
B.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
C.
Jon Bosak
Jon Bosak is a computer scientist best known for leading the original XML specification effort at the World Wide Web Consortium (W3C), which helped standardize data interchange on the web.
-
D.
Don Smolenski
Don Smolenski is an American sports executive best known for serving as the president of the NFL’s Philadelphia Eagles, overseeing the franchise’s business operations.
-
E.
Paul Merolla
Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7492288190bf33c9c869a0710f |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac16eebaa48190acb66cb50c02ed7f |
completed | March 7, 2026, 12:15 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.