Triple
T13987648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Karatz |
E336483
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bruce Karatz |
E336483
|
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: Bruce Karatz | Statement: [Bruce Karatz, name, Bruce Karatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Karatz Context triple: [Bruce Karatz, name, Bruce Karatz]
-
A.
Bruce Karatz
chosen
Bruce Karatz is an American businessman best known as the former chairman and CEO of homebuilding company KB Home.
-
B.
Barry Kroeger
Barry Kroeger was an American character actor known for his distinctive villainous roles in mid-20th-century film and television.
-
C.
Bob Karp
Bob Karp was an American comic strip writer best known for his long-running work on Disney’s Donald Duck newspaper comics.
-
D.
Jim Veltman
Jim Veltman is a former Canadian professional lacrosse player renowned as one of the greatest leaders and transition players in National Lacrosse League history, particularly with the Toronto Rock.
-
E.
Barry Krost
Barry Krost is a film and television producer best known for his work on the acclaimed Tina Turner biographical film "What's Love Got to Do with It."
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9604cc819088cde0ad8271ad48 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.