Triple
T5423213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kicks (film) |
E121299
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Covino |
E315021
|
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 Covino | Statement: [Kicks (film), producer, Michael Covino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Covino Context triple: [Kicks (film), producer, Michael Covino]
-
A.
Michael Covino
chosen
Michael Covino is an American filmmaker and actor best known for co-writing, directing, and starring in the acclaimed indie film "The Climb."
-
B.
Chris Brancato
Chris Brancato is an American television writer and producer best known for his work on crime dramas, including co-creating the acclaimed Netflix series "Narcos."
-
C.
Mark Dacascos
Mark Dacascos is an American actor and martial artist known for his roles in action films and television, as well as for serving as the Chairman on the TV show "Iron Chef America."
-
D.
Kevin Cahoon
Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
-
E.
Michael Ferraro
Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8812f84c819094d8516f69fff83d |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4123bab881908379e7612d5b39b9 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:06 p.m.