Triple
T10972191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Hatosy |
E259267
|
entity |
| Predicate | characterInWork |
P12208
|
FINISHED |
| Object | Alpha Dog |
E21257
|
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: Alpha Dog | Statement: [Shawn Hatosy, characterInWork, Alpha Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpha Dog Context triple: [Shawn Hatosy, characterInWork, Alpha Dog]
-
A.
Alpha Dog
chosen
Alpha Dog is a 2006 crime drama film inspired by real-life events surrounding a kidnapping and murder case, featuring Anton Yelchin in a prominent role.
-
B.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
C.
Greater Dog
Greater Dog is a prominent constellation in the southern celestial hemisphere, best known for containing Sirius, the brightest star in the night sky.
-
D.
Big Dog
Big Dog is the nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known as a key run producer for the Cincinnati Reds’ “Big Red Machine” teams of the 1970s.
-
E.
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719b5edc81908c1019f81e78bd2e |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344a2130081908d9d22ee84890925 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:24 p.m.