Triple
T7830229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Circus |
E181346
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | She Said |
E199798
|
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: She Said | Statement: [The Circus, hasPart, She Said]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She Said Context triple: [The Circus, hasPart, She Said]
-
A.
She Said
chosen
"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.
-
B.
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.
-
C.
Say It
"Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
-
D.
Say It
"Say It" is a track by Rihanna from her acclaimed 2007 album *Good Girl Gone Bad*, blending R&B and pop influences with sensual, confessional lyrics.
-
E.
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."
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdee8da948190b593f855a09260a1 |
completed | March 31, 2026, 2:49 p.m. |
Created at: March 30, 2026, 4:44 p.m.