Triple
T20791745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Garcia |
E511794
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wigville
Wigville is a musical work by American composer and arranger Russell Garcia, known for its inventive, jazz-inflected orchestral style.
|
E1451141
|
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: Wigville | Statement: [Russell Garcia, notableWork, Wigville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wigville Context triple: [Russell Garcia, notableWork, Wigville]
-
A.
Wheeldon
Wheeldon is the surname of Christopher Wheeldon, a prominent British choreographer and former ballet dancer known for his innovative works with major ballet companies worldwide.
-
B.
Waleswood
Waleswood is a small village in South Yorkshire, England, known for its rural setting near Rother Valley Country Park and its historical links to local coal mining.
-
C.
Wyn
Wyn is the given name of Sir Wyn Williams, a Welsh judge known for his role in major public inquiries.
-
D.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
E.
Lampwick
Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
- 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: Wigville Triple: [Russell Garcia, notableWork, Wigville]
Generated description
Wigville is a musical work by American composer and arranger Russell Garcia, known for its inventive, jazz-inflected orchestral style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wigville Target entity description: Wigville is a musical work by American composer and arranger Russell Garcia, known for its inventive, jazz-inflected orchestral style.
-
A.
Wheeldon
Wheeldon is the surname of Christopher Wheeldon, a prominent British choreographer and former ballet dancer known for his innovative works with major ballet companies worldwide.
-
B.
Waleswood
Waleswood is a small village in South Yorkshire, England, known for its rural setting near Rother Valley Country Park and its historical links to local coal mining.
-
C.
Wyn
Wyn is the given name of Sir Wyn Williams, a Welsh judge known for his role in major public inquiries.
-
D.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
E.
Lampwick
Lampwick is a mischievous, troublemaking boy in the story of Pinocchio who leads the title character astray, ultimately transforming into a donkey as a consequence of his bad behavior.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2910d488190bc4be37512effc86 |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8bc76508190b65a105fcd4decd1 |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9c9314c81909052d1a2e93d740a |
completed | May 16, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08fa7040d88190b592d4f46249c2c1 |
completed | May 16, 2026, 11:14 p.m. |
Created at: April 16, 2026, 12:38 p.m.