Triple
T18093001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank's Wild Years |
E433017
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I'll Take New York |
—
|
NE NERFINISHED |
How this triple was built (3 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: I'll Take New York | Statement: [Frank's Wild Years, hasTrack, I'll Take New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'll Take New York Context triple: [Frank's Wild Years, hasTrack, I'll Take New York]
-
A.
I Love New York
I Love New York is an American reality television dating show that follows Tiffany "New York" Pollard’s search for love, spun off from her appearances on VH1’s Flavor of Love.
-
B.
New York, I Love You
New York, I Love You is a 2008 romantic anthology film composed of interwoven love stories set in New York City, featuring an ensemble cast and multiple directors.
-
C.
Live From New York
"Live From New York" is a hip-hop track by Raekwon, featured on his 1999 album "Immobilarity."
-
D.
I Happen to Like New York
"I Happen to Like New York" is a popular song from the 1930s, with music by Vernon Duke and lyrics by E.Y. "Yip" Harburg, that has become a standard in the American songbook.
-
E.
Jammin' in New York
Jammin' in New York is a 1992 stand-up comedy special by George Carlin, celebrated for its sharp social commentary and incisive critique of American culture and politics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I'll Take New York Target entity description: "I'll Take New York" is a song by Tom Waits from his theatrical, concept-album era, reflecting his distinctive gravel-voiced, noir-influenced storytelling style.
-
A.
I Love New York
I Love New York is an American reality television dating show that follows Tiffany "New York" Pollard’s search for love, spun off from her appearances on VH1’s Flavor of Love.
-
B.
New York, I Love You
New York, I Love You is a 2008 romantic anthology film composed of interwoven love stories set in New York City, featuring an ensemble cast and multiple directors.
-
C.
Live From New York
"Live From New York" is a hip-hop track by Raekwon, featured on his 1999 album "Immobilarity."
-
D.
I Happen to Like New York
"I Happen to Like New York" is a popular song from the 1930s, with music by Vernon Duke and lyrics by E.Y. "Yip" Harburg, that has become a standard in the American songbook.
-
E.
Jammin' in New York
Jammin' in New York is a 1992 stand-up comedy special by George Carlin, celebrated for its sharp social commentary and incisive critique of American culture and politics.
- F. None of above. chosen
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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.