Triple
T23032332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | After Life |
E573496
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Charlie Hanson |
—
|
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: Charlie Hanson | Statement: [After Life, executiveProducer, Charlie Hanson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Hanson Context triple: [After Life, executiveProducer, Charlie Hanson]
-
A.
Charlie Hanson
chosen
Charlie Hanson is a British television producer known for his work on acclaimed comedy series, particularly collaborations with Ricky Gervais.
-
B.
Torrey Hanson
Torrey Hanson is an actor known for his role in the television adaptation of "The Exorcist."
-
C.
Spencer Chandler
Spencer Chandler is an actor best known for his role in the independent dark comedy film "Spanking the Monkey."
-
D.
Scott Landon
Scott Landon is a celebrated novelist whose mysterious inner life and traumatic past drive the supernatural and psychological events of Stephen King’s novel "Lisey’s Story."
-
E.
Sean Phillips
Sean Phillips is a British comic book artist best known for his noir-infused collaborations with writer Ed Brubaker on acclaimed series like "Criminal," "Fatale," and "The Fade Out."
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f184822a90819081907d72c76770b0 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.