Triple
T12906638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazing |
E308745
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Richie Supa
Richie Supa is an American songwriter and musician best known for his work with Aerosmith and other rock artists, contributing numerous songs to their catalogs.
|
E1008906
|
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: Richie Supa | Statement: [Amazing, composer, Richie Supa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richie Supa Context triple: [Amazing, composer, Richie Supa]
-
A.
Richie
Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
-
B.
Richie
Richie is a common diminutive or nickname for the given name Richmond.
-
C.
Richie
Richie is a volatile mobster character from the television series "The Sopranos," known for his violent temper and tumultuous relationships.
-
D.
Richie Roberts
Richie Roberts is a real-life New Jersey detective and prosecutor best known for his role in bringing down drug lord Frank Lucas, a story dramatized in the film "American Gangster."
-
E.
Richie Tozier
Richie Tozier is a wisecracking, foul-mouthed member of the Losers' Club in Stephen King's horror novel "It," known for using humor to cope with fear and trauma.
- 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: Richie Supa Triple: [Amazing, composer, Richie Supa]
Generated description
Richie Supa is an American songwriter and musician best known for his work with Aerosmith and other rock artists, contributing numerous songs to their catalogs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richie Supa Target entity description: Richie Supa is an American songwriter and musician best known for his work with Aerosmith and other rock artists, contributing numerous songs to their catalogs.
-
A.
Richie
Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
-
B.
Richie
Richie is a common diminutive or nickname for the given name Richmond.
-
C.
Richie
Richie is a volatile mobster character from the television series "The Sopranos," known for his violent temper and tumultuous relationships.
-
D.
Richie Roberts
Richie Roberts is a real-life New Jersey detective and prosecutor best known for his role in bringing down drug lord Frank Lucas, a story dramatized in the film "American Gangster."
-
E.
Richie Tozier
Richie Tozier is a wisecracking, foul-mouthed member of the Losers' Club in Stephen King's horror novel "It," known for using humor to cope with fear and trauma.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719d4d1c8190a2c4f362e1772a73 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a565ce508190a73f33708e61dc7d |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a6c63eac81908c025af76b2ea656 |
completed | May 3, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a77ba20081908f72f46f64382fca |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:41 p.m.