Triple
T22232227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U2 Go Home: Live from Slane Castle |
E549494
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Kite |
—
|
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: Kite | Statement: [U2 Go Home: Live from Slane Castle, featuresSong, Kite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kite Context triple: [U2 Go Home: Live from Slane Castle, featuresSong, Kite]
-
A.
Kite
chosen
"Kite" is a reflective, emotionally resonant song by U2 from their album *All That You Can’t Leave Behind*, noted for its themes of change, loss, and letting go.
-
B.
Kites
"Kites" is a musical work by composer and pianist Samora Pinderhughes, reflecting his blend of jazz, classical, and socially conscious artistry.
-
C.
Kitee
Kitee is a small town and municipality in eastern Finland known for its lakeside scenery and rural character.
-
D.
Flying a Kite
"Flying a Kite" is a song by the indie rock band Walnut Whales.
-
E.
Kite Eating Tree
Kite Eating Tree is a Peanuts-themed amusement ride inspired by the comic strip gag of a tree that devours Charlie Brown’s kite.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf3de648190986a734f19643a8c |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.