Triple
T7096011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No One Gonna Love You |
E165327
|
entity |
| Predicate | precedesSingle |
P97
|
FINISHED |
| Object | I Got This |
E165333
|
NE FINISHED |
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: I Got This | Statement: [No One Gonna Love You, precedesSingle, I Got This]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Got This Context triple: [No One Gonna Love You, precedesSingle, I Got This]
-
A.
I Got This
chosen
"I Got This" is a song by Jennifer Hudson from her 2011 studio album "I Remember Me."
-
B.
You Got It
"You Got It" is a 1989 rock-pop song by Roy Orbison, released posthumously and celebrated as one of his signature late-career hits.
-
C.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
D.
Got Some
"Got Some" is a high-energy rock song by Pearl Jam, featured on their 2009 album *Backspacer* and known for its driving riffs and politically tinged lyrics.
-
E.
Gotta Have It
"Gotta Have It" is a high-energy hip hop track by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dense sampling and rapid-fire back-and-forth verses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e554d9f081909443be54eb501d25 |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c9e4efc8190acb011a0bd1f120f |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:41 p.m.