Triple
T22053300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labcabincalifornia |
E544939
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | She Said |
—
|
NE NERFINISHED |
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: [Labcabincalifornia, hasPart, She Said]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She Said Context triple: [Labcabincalifornia, 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.
He Said
"He Said" is a song by the alternative rock band Ghost of a Dog.
-
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.
Say It
"Say It" is a 2015 R&B/hip-hop single by Tory Lanez that gained widespread popularity for its smooth vocals and prominent sample of Brownstone’s “If You Love Me.”
-
E.
Say It
"Say It" is a track by the American hip hop group R.E.D, featured as part of their musical releases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12855c7708190a8de44837140b654 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.