Triple
T22483550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Will Take You Home |
E555825
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Cutler |
—
|
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: John Cutler | Statement: [I Will Take You Home, producer, John Cutler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cutler Context triple: [I Will Take You Home, producer, John Cutler]
-
A.
John Cutler
chosen
John Cutler is a record producer and audio engineer best known for his work with the Grateful Dead and other rock artists.
-
B.
R.J. Cutler
R.J. Cutler is an American filmmaker and television producer best known for his work on documentaries and scripted series, often focusing on politics, culture, and the entertainment industry.
-
C.
Jason Isaac Cutler
Jason Isaac Cutler is an American former professional bodybuilder best known for winning multiple Mr. Olympia titles in the 2000s.
-
D.
Brian Quigley
Brian Quigley is a central, often comedic and scheming local businessman in the Irish television drama series "Ballykissangel."
-
E.
Ben Crane
Ben Crane is a central fictional character known for his role in the inspirational horse-racing drama "Dreamer."
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3b03d881909e286a124c1a2b1c |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.