Triple
T5407085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang Grajonca |
E120918
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Bill Graham |
E18808
|
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: Bill Graham | Statement: [Wolfgang Grajonca, alsoKnownAs, Bill Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Graham Context triple: [Wolfgang Grajonca, alsoKnownAs, Bill Graham]
-
A.
Bill Graham
chosen
Bill Graham was a legendary rock concert promoter and impresario who played a pivotal role in shaping the San Francisco music scene and the rise of 1960s counterculture.
-
B.
Don Hewitt
Don Hewitt was an American television news producer best known for pioneering modern TV newsmagazine journalism.
-
C.
Bob Short
Bob Short was an American businessman and sports executive best known for owning and controversially relocating Major League Baseball and NBA franchises in the 1960s and 1970s.
-
D.
Don Graham
Don Graham is a real estate developer best known for his role in creating Honolulu’s Ala Moana Center, one of the largest open-air shopping malls in the world.
-
E.
Glenn Fleshler
Glenn Fleshler is an American character actor known for his intense and often menacing roles in film and television, including appearances in projects like "True Detective," "Billions," and "Joker."
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3394af9c81909f9a3bb06d48595d |
completed | March 22, 2026, 12:11 a.m. |
Created at: March 20, 2026, 2:05 p.m.