Triple
T21723007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 98° |
E536207
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Joe Primo
Joe Primo is a music producer best known for his work with the American boy band 98°.
|
E1498858
|
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: Joe Primo | Statement: [98°, producer, Joe Primo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Primo Context triple: [98°, producer, Joe Primo]
-
A.
Carmine Giordano
Carmine Giordano is an Italian composer known for his contributions to Baroque-era sacred and instrumental music.
-
B.
Tony Prito
Tony Prito is a loyal friend and ally of the Hardy brothers in the Hardy Boys mystery series, often assisting them in their investigations and adventures.
-
C.
Carmine Galante
Carmine Galante was a powerful American mobster and boss of the Bonanno crime family, notorious for his role in organized crime and narcotics trafficking.
-
D.
Armando Gallo
Armando Gallo is a lighting designer known for his work on major international events, including the Pyeongchang Olympic Stadium ceremonies.
-
E.
Peppino De Luca
Peppino De Luca was an Italian composer and musician known for his work on film scores, including the soundtrack for the comedy "The Girl with a Pistol."
- 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: Joe Primo Triple: [98°, producer, Joe Primo]
Generated description
Joe Primo is a music producer best known for his work with the American boy band 98°.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Primo Target entity description: Joe Primo is a music producer best known for his work with the American boy band 98°.
-
A.
Carmine Giordano
Carmine Giordano is an Italian composer known for his contributions to Baroque-era sacred and instrumental music.
-
B.
Tony Prito
Tony Prito is a loyal friend and ally of the Hardy brothers in the Hardy Boys mystery series, often assisting them in their investigations and adventures.
-
C.
Carmine Galante
Carmine Galante was a powerful American mobster and boss of the Bonanno crime family, notorious for his role in organized crime and narcotics trafficking.
-
D.
Armando Gallo
Armando Gallo is a lighting designer known for his work on major international events, including the Pyeongchang Olympic Stadium ceremonies.
-
E.
Peppino De Luca
Peppino De Luca was an Italian composer and musician known for his work on film scores, including the soundtrack for the comedy "The Girl with a Pistol."
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b98e6c8190a2afff6b11c78963 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a28d08738819081084d9d1c91e6ef |
completed | May 17, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2c3a1fc481908c46c86bc6bda9fa |
completed | May 17, 2026, 8:59 p.m. |
Created at: April 16, 2026, 6:48 p.m.