Triple
T11387563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Bergen |
E269748
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object | BobBergen |
E269748
|
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: BobBergen | Statement: [Bob Bergen, twitterUsername, BobBergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BobBergen Context triple: [Bob Bergen, twitterUsername, BobBergen]
-
A.
Bob Bergen
chosen
Bob Bergen is an American voice actor best known for voicing classic Looney Tunes characters, including Porky Pig and Marvin the Martian.
-
B.
Joel Bergman
Joel Bergman was an American architect best known for designing iconic, large-scale casino resorts in Las Vegas.
-
C.
Mitch Besser
Mitch Besser is an American gynecologist and public health specialist known for his work in HIV/AIDS prevention and as the husband of Scottish singer-songwriter Annie Lennox.
-
D.
Fred Berner
Fred Berner is an American film and television producer known for his work on acclaimed projects such as the biographical drama "Pollock."
-
E.
Alan Billings
Alan Billings is a British Labour politician and Anglican priest who serves as the Police and Crime Commissioner for South Yorkshire.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc389d4c81909515a5c8b0099c36 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c3c9a7081908002d726ec9e7715 |
completed | April 20, 2026, 2:15 a.m. |
Created at: April 8, 2026, 9:34 p.m.