Triple
T16673117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Help Is on the Way |
E405152
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jason Livermore |
E1228590
|
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: Jason Livermore | Statement: [Help Is on the Way, producer, Jason Livermore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Livermore Context triple: [Help Is on the Way, producer, Jason Livermore]
-
A.
Jason Livermore
chosen
Jason Livermore is an American audio engineer and record producer known for his work on numerous punk and rock albums, often associated with the Blasting Room studio.
-
B.
Jason Ralph
Jason Ralph is an American actor best known for his role as Quentin Coldwater on the television series "The Magicians."
-
C.
Kyle Moorman
Kyle Moorman is a music producer known for his work on the album "Hurts 2B Human."
-
D.
Jason Ratcliff
Jason Ratcliff is an American NASCAR crew chief best known for leading competitive Cup and Xfinity Series teams, particularly with Joe Gibbs Racing.
-
E.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfbe853c8190941d9a20173100fc |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:19 a.m.