Triple
T14559679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One in a Million |
E341634
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Gotcha’ Back |
E329975
|
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 Gotcha’ Back | Statement: [One in a Million, hasPart, I Gotcha’ Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Gotcha’ Back Context triple: [One in a Million, hasPart, I Gotcha’ Back]
-
A.
I Gotcha Back
chosen
"I Gotcha Back" is a track by GZA, a member of the Wu-Tang Clan, featured on his acclaimed 1995 hip-hop album "Liquid Swords."
-
B.
I Gotcha
"I Gotcha" is a track by rapper Lupe Fiasco from his debut studio album "Food & Liquor."
-
C.
Baby Got Back
"Baby Got Back" is a 1992 hip hop song by Sir Mix-a-Lot, famous for its humorous and provocative celebration of curvy female bodies and its iconic opening monologue.
-
D.
I Got It
"I Got It" is a song featured on American singer T-Pain's 2007 R&B/hip-hop album "Epiphany."
-
E.
I Got the Will
"I Got the Will" is a blues song best known for Etta James’s powerful rendition, showcasing her soulful vocals and emotional intensity.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.