Triple
T18072485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Kelly |
E432465
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jack Kelly |
—
|
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: Jack Kelly | Statement: [Jack Kelly, name, Jack Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Kelly Context triple: [Jack Kelly, name, Jack Kelly]
-
A.
Jack Kelly
chosen
Jack Kelly was an American actor best known for his role as Bart Maverick on the television series "Maverick" and for numerous appearances in Western films and TV shows.
-
B.
Charles Kelly
Charles Kelly was the husband of renowned Victorian-era English actress Ellen Terry.
-
C.
Mickey Knox
Mickey Knox is the violent, media-sensationalized serial killer protagonist from the film "Natural Born Killers."
-
D.
Walter "Keys" McKey
Walter "Keys" McKey is a skilled programmer and game developer who plays a key role in uncovering the truth behind the virtual world in the film "Free Guy."
-
E.
Josh Keaton
Josh Keaton is an American voice actor and actor best known for his work in animation and video games, including roles in Disney and Marvel productions.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccef022c81909be41b2c3a3ee68e |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.