Triple
T15045654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorgon City |
E379217
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Sirens |
E1133849
|
NE FINISHED |
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: [Gorgon City, album, Sirens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirens Context triple: [Gorgon City, album, Sirens]
-
A.
Sirens
"Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
-
B.
Sirens
"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
chosen
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.
the Sirens
The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b96ae08190b15873634b67e8d9 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3 a.m.