Triple
T19204494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Beach |
E480195
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object | Bobby Dyer |
—
|
NE NERFINISHED |
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: Bobby Dyer | Statement: [Virginia Beach, mayor, Bobby Dyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Dyer Context triple: [Virginia Beach, mayor, Bobby Dyer]
-
A.
Bobby Dyer
chosen
Bobby Dyer is an American politician who serves as the mayor of Virginia Beach, Virginia.
-
B.
Bobby Carpenter
Bobby Carpenter is a former American professional ice hockey forward who played in the NHL and was one of the first U.S.-born players to score 50 goals in a season.
-
C.
Bobby Morrow
Bobby Morrow was an American sprinter and three-time Olympic gold medalist renowned for dominating the 100m and 200m events in the mid-1950s.
-
D.
Bobby Davis
Bobby Davis is a fictional character from the comedy film "Wild Hogs," which follows a group of middle-aged friends on a chaotic motorcycle road trip.
-
E.
Bobby Briggs
Bobby Briggs is a rebellious high school football player and troubled boyfriend in the mystery drama series "Twin Peaks."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99b37c081908c13e0b4cca52aa4 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:17 p.m.