Triple
T13793839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soundtrakk |
E331464
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | He Say She Say |
E1061338
|
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: He Say She Say | Statement: [Soundtrakk, notableWork, He Say She Say]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Say She Say Context triple: [Soundtrakk, notableWork, He Say She Say]
-
A.
He Say She Say
chosen
"He Say She Say" is a track from Lupe Fiasco’s critically acclaimed debut album *Food & Liquor*, known for its narrative perspective and socially conscious lyrics.
-
B.
She Said She Said
"She Said She Said" is a psychedelic rock song by the Beatles, written primarily by John Lennon and released on their 1966 album Revolver.
-
C.
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.
-
D.
Make Her Say
"Make Her Say" is a hip-hop single by Kid Cudi featuring Kanye West and Common, known for its playful lyrics and prominent sample of Lady Gaga's "Poker Face."
-
E.
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.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.