Triple
T870836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Graham |
E18808
|
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: [Bill Graham, alsoKnownAs, Bill Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Graham Context triple: [Bill Graham, 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.
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.
-
C.
Paul Andreu
Paul Andreu was a prominent French architect best known for designing major airports and large-scale public buildings around the world.
-
D.
Homer Brightman
Homer Brightman was an American screenwriter best known for his work on classic Disney animated films, including contributing to the screenplay of the 1950 feature "Cinderella."
-
E.
Bob Gaillard
Bob Gaillard was a prominent American college basketball coach best known for leading the University of San Francisco Dons during the 1970s.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac94d5ac81909feee876696da589 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3cb9a648190981182add42325f3 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.