Triple
T13674657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Jack |
E327841
|
entity |
| Predicate | facedOpponent |
P18497
|
FINISHED |
| Object | Sammy Angott |
E327842
|
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: Sammy Angott | Statement: [Beau Jack, facedOpponent, Sammy Angott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sammy Angott Context triple: [Beau Jack, facedOpponent, Sammy Angott]
-
A.
Sammy Angott
chosen
Sammy Angott was an American professional boxer and former world lightweight champion known for his crafty, awkward style and victories over several top fighters of his era.
-
B.
Sammy Aimes
Sammy Aimes is the child of Josey Aimes, a central character in the story depicted in the film "North Country."
-
C.
Sammy Brooks
Sammy Brooks was an American silent film actor known for his work in early 20th-century comedies.
-
D.
Sammy Bryant
Sammy Bryant is a central police officer character in the television drama series "Southland," known for his gritty, streetwise approach to law enforcement in Los Angeles.
-
E.
Sammy M. Hudson
Sammy M. Hudson was a Canadian municipal politician who served as mayor of the city of Burnaby, British Columbia.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65c04988190b675e6fb7241e53c |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943dbf748190b41abfe9d81d1427 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.