Triple
T14813094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nell Jones |
E348234
|
entity |
| Predicate | worksWith |
P398
|
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: [Nell Jones, worksWith, Kensi Blye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensi Blye Context triple: [Nell Jones, worksWith, 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.
March West
March West is an electoral ward within the town of March in Cambridgeshire, England, represented on the local council.
-
D.
Samantha Hobbs
Samantha Hobbs is the young daughter of DSS agent Luke Hobbs in the Fast & Furious film franchise.
-
E.
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.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf374f288190aa918b1b6b507420 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:48 a.m.