Triple
T20032924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And She Was |
E497184
|
entity |
| Predicate | hasMusicVideo |
P3287
|
FINISHED |
| Object | And She Was (music video) |
—
|
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: And She Was (music video) | Statement: [And She Was, hasMusicVideo, And She Was (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: And She Was (music video) Context triple: [And She Was, hasMusicVideo, And She Was (music video)]
-
A.
And She Was
chosen
"And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
-
B.
She Was Hot
"She Was Hot" is a 1983 rock song by The Rolling Stones, released as a single from their album "Undercover."
-
C.
She Wasn’t You
"She Wasn’t You" is a romantic ballad from the Burton Lane–Alan Jay Lerner stage musical *On a Clear Day You Can See Forever*.
-
D.
While She Was Out
While She Was Out is a 2008 thriller film starring Kim Basinger as a suburban housewife who must fight for survival after being hunted through the woods by a group of violent thugs.
-
E.
He & She
"He & She" is a late-1960s American sitcom starring Jack Cassidy, known for its sophisticated, ahead-of-its-time blend of marital comedy and show-business satire.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66293e3908190ade07ba9e09da803 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.