Triple
T22276041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behind the Front |
E550608
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Clap Your Hands |
—
|
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: Clap Your Hands | Statement: [Behind the Front, hasPart, Clap Your Hands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clap Your Hands Context triple: [Behind the Front, hasPart, Clap Your Hands]
-
A.
Clap Your Hands
chosen
"Clap Your Hands" is a track from LL Cool J's 1989 hip hop album "Walking with a Panther."
-
B.
Clap Hands
"Clap Hands" is a dark, jazz-inflected song by Tom Waits, known for its percussive rhythms, surreal lyrics, and distinctive vocal delivery.
-
C.
Clap Your Hands, Stamp Your Feet
"Clap Your Hands, Stamp Your Feet" is a popular pop song by the Irish group The Miami Showband, known for its upbeat, dance-friendly style.
-
D.
The Clap
"The Clap" is a fictional song performed by the outrageous rock-star character Aldous Snow in the comedy film "Get Him to the Greek."
-
E.
The Sound of One Hand Clapping
The Sound of One Hand Clapping is a novel by Australian author Richard Flanagan that explores postwar migration, trauma, and family relationships in Tasmania.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea7ebbc8190948e8994e988adb3 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.