Triple
T14044055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Get Up Kids |
E337912
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Coalesce |
E1075630
|
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: Coalesce | Statement: [The Get Up Kids, associatedAct, Coalesce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coalesce Context triple: [The Get Up Kids, associatedAct, Coalesce]
-
A.
Coalesce
chosen
Coalesce is an American metalcore/mathcore band known for its chaotic song structures, technical musicianship, and influential role in the 1990s hardcore scene.
-
B.
Sammanthurai
Sammanthurai is a town in Sri Lanka’s Eastern Province known for its predominantly Muslim community and agriculture-based local economy.
-
C.
The Combination
The Combination was an early regional English football league that operated in the late 19th century and featured clubs from the North and Midlands.
-
D.
Coalescent
Coalescent is a science fiction novel by Stephen Baxter that explores themes of human evolution, secret societies, and deep time through a multigenerational narrative.
-
E.
Omnibus
Omnibus is a celebrated painting by Swedish artist Anders Zorn, known for its dynamic depiction of urban life and masterful handling of light and atmosphere.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.