Triple
T13830413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Things Fall Apart |
E332381
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | You Got Me |
E65174
|
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: You Got Me | Statement: [Things Fall Apart, hasPart, You Got Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Got Me Context triple: [Things Fall Apart, hasPart, You Got Me]
-
A.
You Got Me
chosen
"You Got Me" is a Grammy-winning neo-soul/hip-hop song by The Roots featuring Erykah Badu, widely recognized for its innovative blend of live instrumentation and introspective lyricism.
-
B.
You Got Me
"You Got Me" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and soulful vocal delivery.
-
C.
You Got Me
"You Got Me" is a song by Mariah Carey from her 2002 studio album "Charmbracelet."
-
D.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
I Got You
"I Got You" is a pop song by American singer Bebe Rexha, known for its catchy chorus and emotional lyrics about loyalty and support in a relationship.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0eb7f44819087b1d24e4235a972 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:13 p.m.