Triple
T13072905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doo-Wops & Hooligans |
E329497
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object | Count On Me |
E1021021
|
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: Count On Me | Statement: [Doo-Wops & Hooligans, containsSingle, Count On Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count On Me Context triple: [Doo-Wops & Hooligans, containsSingle, Count On Me]
-
A.
Count On Me
"Count On Me" is a 1996 R&B ballad by Whitney Houston and CeCe Winans about friendship and support, featured on the "Waiting to Exhale" soundtrack.
-
B.
Count On Me
chosen
"Count On Me" is a mellow, acoustic pop song by Bruno Mars that emphasizes friendship and loyalty.
-
C.
Lean on Me
"Lean on Me" is a 1989 American drama film starring Morgan Freeman as a tough, unconventional high school principal working to reform a troubled inner-city school.
-
D.
Lean on Me
"Lean on Me" is a Grammy-winning contemporary gospel and R&B song by Kirk Franklin featuring an ensemble of prominent vocalists, known for its uplifting message of support and faith.
-
E.
Call On Me
"Call On Me" is a classic soul and blues song by American singer Bobby "Blue" Bland, known for its smooth vocals and emotive, horn-driven arrangement.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27058dc8190a64e1a929f296619 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9 p.m.