Triple
T23375801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalon |
E593600
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Take a Chance with Me |
—
|
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: Take a Chance with Me | Statement: [Avalon, hasSingle, Take a Chance with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take a Chance with Me Context triple: [Avalon, hasSingle, Take a Chance with Me]
-
A.
Take a Chance with Me
chosen
"Take a Chance with Me" is a song featured on the album "Avalon" by the English rock band Roxy Music.
-
B.
Take a Chance on Me
"Take a Chance on Me" is a hit pop song by the Swedish group ABBA, known for its catchy harmonies and prominent use in the musical and film "Mamma Mia!".
-
C.
Take a Chance
"Take a Chance" is a 1932 Broadway musical comedy, later adapted into a film, known for its lively songs and for featuring performer Lillian Roth.
-
D.
Taking a Chance on Love
"Taking a Chance on Love" is a popular standard from the 1940 Broadway musical *Cabin in the Sky*, widely recognized for its enduring place in the Great American Songbook.
-
E.
I Take My Chances
"I Take My Chances" is a country song best known from its hit recording by Mary Chapin Carpenter, co-written with Don Schlitz, that reflects on risk, faith, and personal independence.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b2fe9081909cc002abe50dad2a |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.