Triple
T23277298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Brown |
E588755
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Noel Neri
Noel Neri is known primarily as the child of the American figurative painter and sculptor Joan Brown.
|
E1577272
|
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: Noel Neri | Statement: [Joan Brown, hasChild, Noel Neri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noel Neri Context triple: [Joan Brown, hasChild, Noel Neri]
-
A.
Noel Zancanella
Noel Zancanella is an American songwriter and record producer known for his work on major pop and rock hits, including collaborations with OneRepublic.
-
B.
Noel Gugliemi
Noel Gugliemi is an American character actor best known for frequently portraying tough, streetwise gang members in films such as "Training Day" and "The Fast and the Furious."
-
C.
Michele Novaro
Michele Novaro was a 19th-century Italian composer best known for writing the music to Italy’s national anthem, "Il Canto degli Italiani."
-
D.
Nicola Nocella
Nicola Nocella is an Italian actor known for his roles in contemporary Italian cinema and television comedies and dramas.
-
E.
Nerio Winch
Nerio Winch is a powerful billionaire industrialist and adoptive father of Largo Winch in the Belgian comic book series "Largo Winch."
- 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: Noel Neri Triple: [Joan Brown, hasChild, Noel Neri]
Generated description
Noel Neri is known primarily as the child of the American figurative painter and sculptor Joan Brown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noel Neri Target entity description: Noel Neri is known primarily as the child of the American figurative painter and sculptor Joan Brown.
-
A.
Noel Zancanella
Noel Zancanella is an American songwriter and record producer known for his work on major pop and rock hits, including collaborations with OneRepublic.
-
B.
Noel Gugliemi
Noel Gugliemi is an American character actor best known for frequently portraying tough, streetwise gang members in films such as "Training Day" and "The Fast and the Furious."
-
C.
Michele Novaro
Michele Novaro was a 19th-century Italian composer best known for writing the music to Italy’s national anthem, "Il Canto degli Italiani."
-
D.
Nicola Nocella
Nicola Nocella is an Italian actor known for his roles in contemporary Italian cinema and television comedies and dramas.
-
E.
Nerio Winch
Nerio Winch is a powerful billionaire industrialist and adoptive father of Largo Winch in the Belgian comic book series "Largo Winch."
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19578adf48190bdb129a55f86172c |
completed | April 29, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f7d1df88190bb71f663d677787f |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c40297d3c8190b366b60cec3dbbf8 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40ffd67481908931ffc2d91fb02b |
completed | May 19, 2026, 10:52 a.m. |
Created at: April 17, 2026, 4:49 p.m.