Triple
T17464893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Me |
E425248
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Pretty Liar |
—
|
NE NERFINISHED |
How this triple was built (3 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: Pretty Liar | Statement: [Queen of Me, hasTrack, Pretty Liar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pretty Liar Context triple: [Queen of Me, hasTrack, Pretty Liar]
-
A.
Pretty Little Liars
Pretty Little Liars is a popular teen mystery-drama television series centered on a group of high school girls whose lives unravel after the disappearance of their friend and the emergence of a mysterious tormentor known as "A."
-
B.
Tell Me Lies
Tell Me Lies is a psychological drama television series that follows a tumultuous, years-long relationship marked by obsession, manipulation, and emotional fallout.
-
C.
Faking It
Faking It is an MTV teen romantic comedy series that satirically explores high school identity and sexuality through the story of two best friends who pretend to be a lesbian couple.
-
D.
UnREAL
UnREAL is a critically acclaimed scripted drama series that offers a dark, satirical look behind the scenes of a fictional reality dating show.
-
E.
Lost Girls
Lost Girls is an erotic graphic novel by Alan Moore and Melinda Gebbie that reimagines three famous literary heroines in explicit, psychologically complex adult narratives.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pretty Liar Target entity description: "Pretty Liar" is a pop track by Shania Twain from her 2023 album *Queen of Me*, showcasing her signature catchy hooks and bold, playful lyrics.
-
A.
Pretty Little Liars
Pretty Little Liars is a popular teen mystery-drama television series centered on a group of high school girls whose lives unravel after the disappearance of their friend and the emergence of a mysterious tormentor known as "A."
-
B.
Tell Me Lies
Tell Me Lies is a psychological drama television series that follows a tumultuous, years-long relationship marked by obsession, manipulation, and emotional fallout.
-
C.
Faking It
Faking It is an MTV teen romantic comedy series that satirically explores high school identity and sexuality through the story of two best friends who pretend to be a lesbian couple.
-
D.
UnREAL
UnREAL is a critically acclaimed scripted drama series that offers a dark, satirical look behind the scenes of a fictional reality dating show.
-
E.
Lost Girls
Lost Girls is an erotic graphic novel by Alan Moore and Melinda Gebbie that reimagines three famous literary heroines in explicit, psychologically complex adult narratives.
- F. None of above. chosen
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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a6c2e08190bca9de56ee2f5136 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.