Triple
T21611485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24 Hrs |
E533318
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chris Leonard |
—
|
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: Chris Leonard | Statement: [24 Hrs, producer, Chris Leonard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Leonard Context triple: [24 Hrs, producer, Chris Leonard]
-
A.
Chris Leonard
chosen
Chris Leonard is a music producer known for his work on various studio albums.
-
B.
Chris Leonard
Chris Leonard is a writer best known for his work on the song "Lego House," popularized by Ed Sheeran.
-
C.
Michael Daves
Michael Daves is an American bluegrass and roots musician known for his high-energy vocal style and collaborations with prominent artists such as mandolinist Chris Thile.
-
D.
Peter Adkison
Peter Adkison is an American game designer and entrepreneur best known as the founder and former CEO of Wizards of the Coast, the company behind Magic: The Gathering and the modern era of Dungeons & Dragons.
-
E.
Bill Lawrence
Bill Lawrence is an American television producer, screenwriter, and director best known for creating hit series such as Scrubs, Cougar Town, and co-creating Ted Lasso.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e88f7081909371bc0de2147609 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.