Triple
T6734591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Brandt |
E153720
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Brandt |
E153720
|
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: Joe Brandt | Statement: [Joe Brandt, name, Joe Brandt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Brandt Context triple: [Joe Brandt, name, Joe Brandt]
-
A.
Joe Brandt
chosen
Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
-
B.
Michael Brandt
Michael Brandt is an American screenwriter, director, and producer known for co-writing action films like "2 Fast 2 Furious" and for his work on television series such as "Chicago Fire."
-
C.
Doug Brandt
Doug Brandt is a film editor known for his work on major studio productions, including the adventure-comedy film "Jungle Cruise."
-
D.
Kevin Brodbin
Kevin Brodbin is a screenwriter known for his work on genre films, including the psychological thriller "Mindhunters."
-
E.
Mark Brinker
Mark Brinker is the son of American restaurateur and casual-dining pioneer Norman Brinker.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0703288190906cfcaba9d9c85a |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.