Triple
T3495091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wand |
E73830
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Laughing Matter |
E362326
|
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: Laughing Matter | Statement: [Wand, album, Laughing Matter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laughing Matter Context triple: [Wand, album, Laughing Matter]
-
A.
Laughing Matter
chosen
Laughing Matter is a studio album by the American experimental rock band Wand, noted for its atmospheric sound and introspective songwriting.
-
B.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
C.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
-
D.
Cry to Laugh
"Cry to Laugh" is a song featured on the album *Heigh Ho* by American singer-songwriter Blake Mills.
-
E.
Make 'Em Laugh
"Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e6511b08190b67c353df53599b5 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.