Triple
T7943487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arctic Monkeys |
E184443
|
entity |
| Predicate | fourthAlbum |
P12557
|
FINISHED |
| Object | Suck It and See |
E699485
|
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: Suck It and See | Statement: [Arctic Monkeys, fourthAlbum, Suck It and See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suck It and See Context triple: [Arctic Monkeys, fourthAlbum, Suck It and See]
-
A.
Suck It and See
chosen
"Suck It and See" is the fourth studio album by English rock band Arctic Monkeys, known for its melodic guitar-driven sound and more reflective, romantic songwriting.
-
B.
Sucker
Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
-
C.
Sucker
"Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
-
D.
Sucka for Love
"Sucka for Love" is a hip-hop track featured on the album "Undisputed."
-
E.
Eat That Rat
Eat That Rat is a track from the album "Animal Boy" by the American punk rock band Ramones.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0d31548190af54a2f3bbb8cad3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe024a7dc8190a8bd11f266ebbc96 |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:09 p.m.