Triple
T1863769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seal (album) |
E34873
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object | Crazy |
E47526
|
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: Crazy | Statement: [Seal (album), containsSingle, Crazy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crazy Context triple: [Seal (album), containsSingle, Crazy]
-
A.
Crazy
chosen
"Crazy" is a classic country ballad written by Willie Nelson and made famous by Patsy Cline, renowned for its poignant lyrics and timeless melody.
-
B.
Troublemaker
Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
-
C.
Crazy Chick
"Crazy Chick" is a 2005 pop single by Welsh singer Charlotte Church that marked her transition from classical crossover to mainstream pop music.
-
D.
Madness
Madness is a British ska and pop band, formed in London in the late 1970s, known for hits like "Our House" and "Baggy Trousers" and for their energetic, humorous style.
-
E.
American Madness
American Madness is a 1932 American pre-Code drama film directed by Frank Capra that explores themes of banking, trust, and social responsibility during the Great Depression.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d2d2d48190b2234d1ec9ba9085 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.