Triple
T23389319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Jane |
E593967
|
entity |
| Predicate | closeColleague |
P11349
|
FINISHED |
| Object | Kimball Cho |
—
|
NE NERFINISHED |
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: Kimball Cho | Statement: [Patrick Jane, closeColleague, Kimball Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimball Cho Context triple: [Patrick Jane, closeColleague, Kimball Cho]
-
A.
Kimball Cho
chosen
Kimball Cho is a stoic, highly disciplined investigator and former gang member who serves as a key member of Patrick Jane’s team in the crime drama series "The Mentalist."
-
B.
Charles Kim
Charles Kim is a musician best known as a member of the experimental music collective Boxhead Ensemble.
-
C.
Bill Choi
Bill Choi is a television producer best known for serving as an executive producer on the political thriller series "Designated Survivor."
-
D.
Kenton Lee
Kenton Lee is a natural language processing researcher best known for leading the development of ELMo contextual word embeddings at Allen Institute for AI.
-
E.
Kenton Lee
Kenton Lee is a natural language processing researcher known for his work at Google, including co-authoring the influential BERT language model.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.