Triple
T5971859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Cooper |
E132891
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Maestro (2023 film) |
E559965
|
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: Maestro (2023 film) | Statement: [Bradley Cooper, directed, Maestro (2023 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maestro (2023 film) Context triple: [Bradley Cooper, directed, Maestro (2023 film)]
-
A.
Maestro (2023 film)
chosen
Maestro (2023 film) is a 2023 biographical drama directed by and starring Bradley Cooper that chronicles the life and marriage of legendary composer and conductor Leonard Bernstein.
-
B.
Maestro
Maestro is a powerful, villainous future version of the Hulk who possesses Bruce Banner’s intellect combined with the Hulk’s immense strength and rules as a tyrant in a post-apocalyptic world.
-
C.
Maestro
Maestro is a global debit card and electronic payment brand operated by Mastercard, commonly used for point-of-sale and ATM transactions.
-
D.
Maestro
Maestro is a celebrated nickname for Swiss tennis legend Roger Federer, highlighting his graceful, masterful style of play.
-
E.
MAESTRO
MAESTRO is a Canadian satellite instrument designed to measure atmospheric trace gases and ozone-related chemistry from orbit.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c049ff0eec8190834f77bafae943ce |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108422220819092ac63e5ebb264b4 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:03 p.m.