Triple
T19453210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercy (2009 film) |
E486667
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Blake Mycoskie |
—
|
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: Blake Mycoskie | Statement: [Mercy (2009 film), starring, Blake Mycoskie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blake Mycoskie Context triple: [Mercy (2009 film), starring, Blake Mycoskie]
-
A.
Blake Mycoskie
chosen
Blake Mycoskie is an American entrepreneur and philanthropist best known as the founder of TOMS Shoes and the pioneer of the “One for One” social enterprise model.
-
B.
Paige Mycoskie
Paige Mycoskie is an American entrepreneur and designer best known as the founder of the vintage-inspired clothing and lifestyle brand Aviator Nation.
-
C.
Kevin Plank
Kevin Plank is an American entrepreneur best known as the founder and longtime CEO of the sportswear company Under Armour.
-
D.
Simon Benenson
Simon Benenson is an individual notable enough to be recognized as a prominent bearer of the surname Benenson.
-
E.
Sam Edelman
Sam Edelman is an American fashion footwear and accessories brand known for its stylish, contemporary shoes and wide retail presence.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.