Triple
T21536970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please Stand By |
E531372
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael Stahl-David |
—
|
NE NERFINISHED |
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: Michael Stahl-David | Statement: [Please Stand By, starring, Michael Stahl-David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Stahl-David Context triple: [Please Stand By, starring, Michael Stahl-David]
-
A.
Michael Stahl-David
chosen
Michael Stahl-David is an American actor best known for his leading role in the found-footage monster film "Cloverfield."
-
B.
Eric Stahl-David
Eric Stahl-David is a sibling of American actor and director Michael Stahl-David, known for his work in film and television.
-
C.
Eric Marienthal
Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
-
D.
Andrew Stahl-David
Andrew Stahl-David is a sibling of American actor and director Michael Stahl-David.
-
E.
Mark Silverstein
Mark Silverstein is a notable individual recognized for his contributions in his professional field, likely in law, civil liberties advocacy, or public service.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.