Triple
T20201051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears for Fears |
E493217
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mad World |
—
|
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: Mad World | Statement: [Tears for Fears, notableWork, Mad World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mad World Context triple: [Tears for Fears, notableWork, Mad World]
-
A.
Mad World
"Mad World" is a popular electronic dance track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and catchy melodic hooks.
-
B.
Mad World
chosen
"Mad World" is a melancholic song originally by Tears for Fears, widely popularized by Gary Jules’ haunting cover used in the film *Donnie Darko*.
-
C.
A Long and Sad Goodbye
"A Long and Sad Goodbye" is a melancholic rock ballad by Lenny Kravitz featured on his 2008 album *It Is Time for a Love Revolution*.
-
D.
Dreamland
Dreamland is an independent film directed by Robert Schwartzman that blends offbeat romance and quirky drama.
-
E.
Dreamland
"Dreamland" is a synth-pop single by the Pet Shop Boys featuring Years & Years, known for its nostalgic yet contemporary electronic sound.
- 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_69e66d8e0df481909c030e2a01d1862a |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.