Triple
T20214724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Gay-Rees |
E493586
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | All This Mayhem |
—
|
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: All This Mayhem | Statement: [James Gay-Rees, producerOf, All This Mayhem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All This Mayhem Context triple: [James Gay-Rees, producerOf, All This Mayhem]
-
A.
All This Mayhem
chosen
All This Mayhem is a documentary film that chronicles the meteoric rise and tragic downfall of Australian skateboarding brothers Tas and Ben Pappas amid the 1990s skate culture boom.
-
B.
Electric Mayhem
Electric Mayhem is the fictional rock band of colorful puppet musicians featured in The Muppets franchise.
-
C.
The Maddening
The Maddening is a 1995 psychological thriller film starring Burt Reynolds as a deranged patriarch who imprisons a young woman and her family.
-
D.
All in All
"All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
-
E.
The Crazed
"The Crazed" is a novel by Chinese-American author Ha Jin that explores the psychological and political turmoil of post-Cultural Revolution China through a graduate student's relationship with his ailing mentor.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.