Triple
T18508156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Zambrano |
E452253
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Bobby Caffey |
—
|
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 Caffey | Statement: [Kim Zambrano, hasColleague, Bobby Caffey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Caffey Context triple: [Kim Zambrano, hasColleague, Bobby Caffey]
-
A.
Bobby Caffey
chosen
Bobby Caffey is a fictional paramedic and main character from the television drama series "Third Watch."
-
B.
Bobby Dyer
Bobby Dyer is an American politician who serves as the mayor of Virginia Beach, Virginia.
-
C.
Billy Daugherty
Billy Daugherty is an individual notable enough to be recognized as a prominent bearer of the surname Daugherty.
-
D.
Bobby McDermott
Bobby McDermott was an American professional basketball guard widely regarded as one of the greatest players of the pre-NBA era, known for his prolific scoring and multiple championships in the 1930s and 1940s.
-
E.
Ray Nitschke
Ray Nitschke was a legendary middle linebacker for the Green Bay Packers, renowned for his hard-hitting play and key role in Vince Lombardi’s championship teams.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344033c8190a0883aef56ba79c3 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.