Triple
T12403603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Better Time |
E296322
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | So Crazy |
E976743
|
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: So Crazy | Statement: [A Better Time, hasPart, So Crazy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Crazy Context triple: [A Better Time, hasPart, So Crazy]
-
A.
So Crazy
chosen
"So Crazy" is a song best known as a 2003 R&B hit by Beyoncé featuring Jay-Z from her debut solo album "Dangerously in Love."
-
B.
You're Crazy
"You're Crazy" is a hard rock song by Guns N' Roses from their landmark 1987 debut album *Appetite for Destruction*.
-
C.
C.R.A.Z.Y.
C.R.A.Z.Y. is a 2005 Quebecois coming-of-age drama film that follows a young man’s struggle with identity, family, and sexuality across several decades, directed by Jean-Marc Vallée.
-
D.
Go Crazy
"Go Crazy" is a popular hip-hop single by Young Thug, known for its catchy melody and energetic production.
-
E.
Go Crazy
"Go Crazy" is a popular hip-hop single by Jeezy featuring Jay-Z, known for its soulful production and influential role in mid-2000s Southern rap.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63484c6808190a71d24f8ee3a7e15 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.