Triple
T18876116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa |
E461690
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | The Voices |
—
|
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: The Voices | Statement: [Lisa, appearsIn, The Voices]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Voices Context triple: [Lisa, appearsIn, The Voices]
-
A.
The Voices
chosen
The Voices is a dark comedy horror film starring Ryan Reynolds as a disturbed factory worker who converses with his talking pets, blurring the line between delusion and reality.
-
B.
Voices
Voices is a sculptural artwork by Spanish artist Jaume Plensa, known for his large-scale, contemplative installations that explore the human figure, language, and spirituality.
-
C.
Voices
"Voices" is a 1979 romantic drama film starring Amy Irving and Michael Ontkean that centers on the relationship between a deaf woman and an aspiring singer.
-
D.
Voices
Voices is a 1980 pop-rock album by Daryl Hall & John Oates that marked their commercial breakthrough with hits like "Kiss on My List" and "You Make My Dreams."
-
E.
Voices
"Voices" is a film featuring actress Gayle Hunnicutt, recognized as one of her notable screen performances.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3ce07788190a179705eb1b6c824 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.