Triple
T17489773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Take My Chances |
E425872
|
entity |
| Predicate | includedInAlbum |
P1925
|
FINISHED |
| Object | Come On Come On |
—
|
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: Come On Come On | Statement: [I Take My Chances, includedInAlbum, Come On Come On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Come On Come On Context triple: [I Take My Chances, includedInAlbum, Come On Come On]
-
A.
Come On, Come On
chosen
"Come On, Come On" is a high-energy garage rock track by The Von Bondies that gained prominence in the early 2000s, notably as the theme song for the TV series "Rescue Me."
-
B.
Come On
"Come On" is a track by rapper Lil Wayne from his debut studio album "Tha Block Is Hot."
-
C.
Come On
"Come On" is a track by Greek composer Vangelis featured on his 1988 electronic and new-age album "Earth."
-
D.
Come On
"Come On" is a track from the Christian rock band Born Again, known for its energetic style and faith-centered lyrics.
-
E.
The Come On
"The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d461308190844c143dcfb61fac |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.