Triple
T2009288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings |
E43654
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Helen Wheels
"Helen Wheels" is a song by the British rock band Wings, released in 1973 and associated with Paul McCartney’s post-Beatles career.
|
E226132
|
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: Helen Wheels | Statement: [Wings, notableWork, Helen Wheels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Wheels Context triple: [Wings, notableWork, Helen Wheels]
-
A.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
B.
Wheeler
Wheeler is a surname most prominently associated in this context with Ted Wheeler, the American politician and mayor of Portland, Oregon.
-
C.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
D.
Wheels
Wheels is a mathematical puzzle and recreational mathematics topic discussed in Martin Gardner’s collection "Wheels, Life and Other Mathematical Amusements."
-
E.
Winged Wheel
Winged Wheel is the iconic winged tire logo that symbolizes the Detroit Red Wings hockey franchise.
- 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: Helen Wheels Triple: [Wings, notableWork, Helen Wheels]
Generated description
"Helen Wheels" is a song by the British rock band Wings, released in 1973 and associated with Paul McCartney’s post-Beatles career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Wheels Target entity description: "Helen Wheels" is a song by the British rock band Wings, released in 1973 and associated with Paul McCartney’s post-Beatles career.
-
A.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
B.
Wheeler
Wheeler is a surname most prominently associated in this context with Ted Wheeler, the American politician and mayor of Portland, Oregon.
-
C.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
D.
Wheels
Wheels is a mathematical puzzle and recreational mathematics topic discussed in Martin Gardner’s collection "Wheels, Life and Other Mathematical Amusements."
-
E.
Winged Wheel
Winged Wheel is the iconic winged tire logo that symbolizes the Detroit Red Wings hockey franchise.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae395a08190abf2077ad7a975ba |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0bb8b34c81908f817bb1fbcb1873 |
completed | March 8, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c20aaf48190852334f9c76d0d18 |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:37 p.m.