Triple
T8840007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah and the Whale |
E210361
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Urby Whale
Urby Whale is a musician best known as a member of the English indie folk band Noah and the Whale.
|
E761046
|
NE FINISHED |
How this triple was built (4 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: Urby Whale | Statement: [Noah and the Whale, hasMember, Urby Whale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urby Whale Context triple: [Noah and the Whale, hasMember, Urby Whale]
-
A.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
-
B.
Lisberg
Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
-
C.
Balbo
Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
-
D.
ArcelorMittal Orbit
ArcelorMittal Orbit is a 114.5-metre-tall red steel observation tower and sculpture in London’s Queen Elizabeth Olympic Park, created for the 2012 Olympic Games and known as the UK’s tallest piece of public art.
-
E.
Frankwell
Frankwell is a historic riverside district of Shrewsbury, England, known for its old streets, period buildings, and proximity to the town centre across the River Severn.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Urby Whale Triple: [Noah and the Whale, hasMember, Urby Whale]
Generated description
Urby Whale is a musician best known as a member of the English indie folk band Noah and the Whale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urby Whale Target entity description: Urby Whale is a musician best known as a member of the English indie folk band Noah and the Whale.
-
A.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
-
B.
Lisberg
Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
-
C.
Balbo
Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
-
D.
ArcelorMittal Orbit
ArcelorMittal Orbit is a 114.5-metre-tall red steel observation tower and sculpture in London’s Queen Elizabeth Olympic Park, created for the 2012 Olympic Games and known as the UK’s tallest piece of public art.
-
E.
Frankwell
Frankwell is a historic riverside district of Shrewsbury, England, known for its old streets, period buildings, and proximity to the town centre across the River Severn.
- F. None of above. chosen
Provenance (5 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf899c5b288190b854acebc9fe33d1 |
completed | April 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69cf8ab6c1a8819097b8a84902a10296 |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bd252a4819098891bbb67baf897 |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:48 p.m.