Triple
T21354903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annette Badland |
E526591
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Little Voice (film) |
—
|
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: Little Voice (film) | Statement: [Annette Badland, appearedIn, Little Voice (film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Voice (film) Context triple: [Annette Badland, appearedIn, Little Voice (film)]
-
A.
Little Voice
Little Voice is the major-label debut studio album by American singer-songwriter Sara Bareilles, featuring her breakthrough hit "Love Song."
-
B.
Little Voice
chosen
Little Voice is a 1998 British musical comedy-drama film about a shy young woman with an extraordinary talent for mimicking famous singers.
-
C.
A Little Voice
"A Little Voice" is a lesser-known song featured as the B-side to Dean Martin's hit single "Everybody Loves Somebody."
-
D.
The Voices (animated film)
The Voices is an animated film that features the character The Deer among its cast.
-
E.
The Little Girls
The Little Girls is a 1964 novel by Elizabeth Bowen that explores memory, aging, and the lingering impact of childhood through the reunion of three former schoolfriends.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9be3a48190aa8e6e9a5b812981 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:06 p.m.