Triple
T1996013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Things You Say |
E43359
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Things You Say |
E43359
|
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: Things You Say | Statement: [Things You Say, hasTitle, Things You Say]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Things You Say Context triple: [Things You Say, hasTitle, Things You Say]
-
A.
Things You Say
chosen
"Things You Say" is a song by Whitney Houston from her 2002 studio album "Just Whitney."
-
B.
The Things I Say
"The Things I Say" is a song by the indie folk-rock musician Joanna Newsom from her album "Divers."
-
C.
They Say
"They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
-
D.
She Said
"She Said" is a 2022 drama film that chronicles The New York Times investigation into Harvey Weinstein’s sexual misconduct, helping to ignite the #MeToo movement.
-
E.
In Your Words
"In Your Words" is a pop song by American singer Rebecca Black that showcases her more mature musical style following her viral debut with "Friday."
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8666b14819084374b84b65c6c74 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033c6cf88190acf6418f0d784914 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.