Triple
T19842897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mute Records |
E476780
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Liars |
—
|
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: Liars | Statement: [Mute Records, notableArtist, Liars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liars Context triple: [Mute Records, notableArtist, Liars]
-
A.
Liars
chosen
Liars is an experimental rock band known for its genre-shifting sound, avant-garde approach, and critically acclaimed albums in the 2000s and 2010s.
-
B.
Liar
Liar is a British psychological thriller television series centered on the consequences of a disputed sexual assault accusation and the unraveling of truth between its two main characters.
-
C.
Liar
"Liar" is a song by Kelly Clarkson from her 2023 album "Chemistry," blending pop and soulful influences to explore themes of deception and emotional resilience.
-
D.
Liar
"Liar" is a 1992 noise rock album by The Jesus Lizard, widely regarded as one of the band's most intense and critically acclaimed releases.
-
E.
Liar
"Liar" is a 2019 Latin pop-influenced single by Cuban-American singer Camila Cabello, known for its playful lyrics and brass-heavy, danceable production.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65806ea888190850421154238d91c |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.