Triple
T2086365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell Me No |
E45358
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Tell Me No |
E45358
|
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: Tell Me No | Statement: [Tell Me No, hasTitle, Tell Me No]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell Me No Context triple: [Tell Me No, hasTitle, Tell Me No]
-
A.
Tell Me No
chosen
"Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
-
B.
Can’t Tell Me Nothing
"Can’t Tell Me Nothing" is a critically acclaimed hip-hop single by Kanye West known for its introspective lyrics and anthemic production.
-
C.
Tell Me That It Isn't True
"Tell Me That It Isn't True" is a country-influenced song by Bob Dylan featured on his late-1960s album Nashville Skyline.
-
D.
And I Am Telling You I'm Not Going
"And I Am Telling You I'm Not Going" is a powerful, emotionally charged showstopper ballad from the musical Dreamgirls, best known for its demanding vocals and iconic performances by Jennifer Holliday and Jennifer Hudson.
-
E.
Don’t Tell Me You Love Me
"Don’t Tell Me You Love Me" is a song featured on Big Sean’s debut studio album "Finally Famous."
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba54ec048190bfe378aef1cc8086 |
completed | March 7, 2026, 5:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae273f8e3481908c45f1686072a95d |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:41 p.m.