Triple
T13758177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stahl |
E330529
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Michael Stahl-David |
E455203
|
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: Michael Stahl-David | Statement: [Stahl, hasNotableBearer, Michael Stahl-David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Stahl-David Context triple: [Stahl, hasNotableBearer, 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 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.
-
C.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
-
D.
David Winkler
David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
-
E.
Jon Shestack
Jon Shestack is an American film producer known for working on a range of studio and independent movies, including the romantic comedy-drama "Dan in Real Life."
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ded1e0819097ef42533357caf8 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:09 p.m.