Triple
T20033096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Creatures |
E497188
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | And She Was |
—
|
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 | Statement: [Little Creatures, notableSingle, And She Was]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: And She Was Context triple: [Little Creatures, notableSingle, And She Was]
-
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.
Something She
Something She is the fictional all-female punk band fronted by Elisabeth Moss’s character in the 2018 film "Her Smell."
-
C.
She Will
"She Will" is a hip-hop song by Lil Wayne featuring Drake, known for its moody production and introspective lyrics about success, loyalty, and relationships.
-
D.
Without Her
"Without Her" is a melancholic pop song written and performed by Harry Nilsson, featured on his 1967 album *Pandemonium Shadow Show*.
-
E.
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*.
- 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.