Triple
T11951677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Cincinnati |
E284439
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object | Jeff Berding |
E385032
|
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: Jeff Berding | Statement: [FC Cincinnati, president, Jeff Berding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Berding Context triple: [FC Cincinnati, president, Jeff Berding]
-
A.
Jeff Berding
chosen
Jeff Berding is an American sports executive best known as the co-founder and longtime president of Major League Soccer club FC Cincinnati.
-
B.
Gary Dornhoefer
Gary Dornhoefer is a former Canadian right winger best known for his gritty play and clutch scoring with the Philadelphia Flyers during their "Broad Street Bullies" era in the 1970s.
-
C.
Bryan Devendorf
Bryan Devendorf is an American drummer best known as a founding member and rhythmic backbone of the indie rock band The National.
-
D.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
E.
Todd Boekelheide
Todd Boekelheide is an American film composer and sound editor known for his work on numerous documentaries and feature films, including Academy Award–winning projects.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90364c2608190a3946c9595c71164 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a114ccc81909bc428c40c01a461 |
completed | May 3, 2026, 8:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.