Triple
T12385958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Uris |
E295863
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Andy Bean |
E721670
|
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: Andy Bean | Statement: [Stanley Uris, portrayedBy, Andy Bean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Bean Context triple: [Stanley Uris, portrayedBy, Andy Bean]
-
A.
Andy Bean
chosen
Andy Bean is an American actor best known for his roles in films like "It Chapter Two" and television series such as "Power" and "Here and Now."
-
B.
Jim Beanz
Jim Beanz is an American songwriter, vocal producer, and record producer known for his extensive work with Timbaland and contributions to numerous R&B and pop hits.
-
C.
Charlie Bean
Charlie Bean is an American animator, storyboard artist, and film director known for his work on animated projects including co-directing *The Lego Ninjago Movie*.
-
D.
Tom Bean
Tom Bean was an early settler and landowner in Texas after whom the city of Tom Bean, Texas, is named.
-
E.
Biz E. Beaver
Biz E. Beaver is the costumed beaver mascot representing Babson College at its athletic events and campus activities.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac939bc819081629b9eef20c4e7 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.