Triple
T8464871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Deeks |
E200134
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kensi Blye |
E200133
|
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: Kensi Blye | Statement: [Marty Deeks, spouse, Kensi Blye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensi Blye Context triple: [Marty Deeks, spouse, Kensi Blye]
-
A.
Kensi Blye
chosen
Kensi Blye is a highly skilled and resourceful NCIS Special Agent and former Marine who serves as one of the central protagonists on the television series NCIS: Los Angeles.
-
B.
Calleigh Duquesne
Calleigh Duquesne is a ballistics expert and crime scene investigator on the television series CSI: Miami, known for her Southern charm, professionalism, and forensic expertise.
-
C.
Claire Temple
Claire Temple is a compassionate and resourceful nurse in the Marvel universe who frequently aids street-level heroes like Daredevil and Luke Cage, often serving as a crucial moral and medical support.
-
D.
Sara Sidle
Sara Sidle is a forensic scientist and key member of the Las Vegas crime lab team in the television series "CSI: Crime Scene Investigation."
-
E.
Dani Dennison
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea82c897c8190b7554d2e91968b53 |
completed | April 2, 2026, 5:32 p.m. |
Created at: March 30, 2026, 6:11 p.m.