Triple
T9801699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McKaley Miller |
E237851
|
entity |
| Predicate | characterIn |
P12208
|
FINISHED |
| Object | Partners |
E366506
|
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: Partners | Statement: [McKaley Miller, characterIn, Partners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Partners Context triple: [McKaley Miller, characterIn, Partners]
-
A.
Partners
chosen
Partners is a short-lived American sitcom starring Kelsey Grammer that aired in the 2010s.
-
B.
Pardners
"Pardners" is a 1956 American Western comedy film starring the duo of Dean Martin and Jerry Lewis, directed by Norman Taurog.
-
C.
The Partners
The Partners is an art and design studio known for creating striking book cover artwork, including the cover for the James Bond novel "Devil May Care."
-
D.
The Partner
The Partner is a legal thriller novel by John Grisham that follows a lawyer who fakes his death and steals millions from his firm, only to be hunted down years later.
-
E.
Star Partners
Star Partners is a film production company best known for its involvement in producing the romantic comedy-drama "Moonstruck."
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc53c3dc819084a4d8b72164a172 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:29 p.m.