Triple
T22640771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liza Snyder |
E558817
|
entity |
| Predicate | castMemberOf |
P7010
|
FINISHED |
| Object | Sirens |
—
|
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: Sirens | Statement: [Liza Snyder, castMemberOf, Sirens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirens Context triple: [Liza Snyder, castMemberOf, Sirens]
-
A.
Sirens
"Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
-
B.
Sirens
chosen
"Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
-
C.
Sirens
"Sirens" is a 2015 indie-folk album by The Weepies known for its intimate songwriting and gentle, melodic sound.
-
D.
Sirens
Sirens is the first full-length studio album by British electronic music duo Gorgon City, showcasing their blend of house, garage, and pop-oriented dance music.
-
E.
Sirens
"Sirens" is a chapter in James Joyce's novel Ulysses, renowned for its musical structure and stylistic experimentation that mimics the sounds and rhythms of a barroom.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.