Triple
T16909850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louie De Palma |
E410165
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object | Tony Banta |
E975914
|
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: Tony Banta | Statement: [Louie De Palma, relationshipWith, Tony Banta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Banta Context triple: [Louie De Palma, relationshipWith, Tony Banta]
-
A.
Tony Banta
chosen
Tony Banta is a kind-hearted but somewhat dim-witted boxer and cab driver portrayed by Tony Danza on the classic sitcom "Taxi."
-
B.
Gary Bonner
Gary Bonner is a musician best known as a member of the new wave band Tom Tom Club.
-
C.
Gary Tarpinian
Gary Tarpinian was an American television producer best known for creating and producing popular nonfiction and reality series, particularly in the history and science genres.
-
D.
Verne Brown
Verne Brown is one of the time-traveling sons of Dr. Emmett Brown featured in the Back to the Future franchise.
-
E.
Matt Bondurant
Matt Bondurant is an American novelist and academic best known for his historical crime novel "The Wettest County in the World," which was adapted into the film "Lawless."
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3bdc3081908a9b4f6e63405348 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b98d5c8190b61de47b246549e3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.