Triple
T18109084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMegaphone |
E433425
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Steve Lyon
Steve Lyon is a British record producer and audio engineer known for his work with prominent rock and alternative bands such as Depeche Mode and The Cure.
|
E1307112
|
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: Steve Lyon | Statement: [iMegaphone, producer, Steve Lyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Lyon Context triple: [iMegaphone, producer, Steve Lyon]
-
A.
Eric Lyons
Eric Lyons is a technology entrepreneur best known as a co-founder of the software company Altamira Software.
-
B.
Stephen Lyons
Stephen Lyons is a central character in the British drama series "Years and Years," which follows a Manchester family navigating rapid social and political changes over several decades.
-
C.
Stephen Lyons
Stephen Lyons is a person known primarily as a family member of Daniel Lyons.
-
D.
Dave Lyons
Dave Lyons is a deaf man who becomes entangled in a murder investigation alongside his blind friend in the comedy film "See No Evil, Hear No Evil."
-
E.
Michael Lyons
Michael Lyons is a British public servant and former chairman of the BBC Trust, known for his leadership roles in local government and public sector organizations.
- 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: Steve Lyon Triple: [iMegaphone, producer, Steve Lyon]
Generated description
Steve Lyon is a British record producer and audio engineer known for his work with prominent rock and alternative bands such as Depeche Mode and The Cure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Lyon Target entity description: Steve Lyon is a British record producer and audio engineer known for his work with prominent rock and alternative bands such as Depeche Mode and The Cure.
-
A.
Eric Lyons
Eric Lyons is a technology entrepreneur best known as a co-founder of the software company Altamira Software.
-
B.
Stephen Lyons
Stephen Lyons is a central character in the British drama series "Years and Years," which follows a Manchester family navigating rapid social and political changes over several decades.
-
C.
Stephen Lyons
Stephen Lyons is a person known primarily as a family member of Daniel Lyons.
-
D.
Dave Lyons
Dave Lyons is a deaf man who becomes entangled in a murder investigation alongside his blind friend in the comedy film "See No Evil, Hear No Evil."
-
E.
Michael Lyons
Michael Lyons is a British public servant and former chairman of the BBC Trust, known for his leadership roles in local government and public sector organizations.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbbfae88190aa77f498dbb9edcb |
completed | April 19, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c3930e0819083b2355a0af67b72 |
completed | May 12, 2026, 7:15 p.m. |
| NEDg | Description generation | batch_6a037dc3a150819085368bcf620e8768 |
completed | May 12, 2026, 7:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e99ae98819087afa088fb42e847 |
completed | May 12, 2026, 7:25 p.m. |
Created at: April 10, 2026, 10:28 a.m.