Triple
T13550154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle |
E323620
|
entity |
| Predicate | partOfEnsembleCastWith |
P14987
|
FINISHED |
| Object |
Amanda Nunn
Amanda Nunn is an actress known for performing as part of the ensemble cast of the Australian TV series "Belle."
|
E1096760
|
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: Amanda Nunn | Statement: [Belle, partOfEnsembleCastWith, Amanda Nunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Nunn Context triple: [Belle, partOfEnsembleCastWith, Amanda Nunn]
-
A.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
B.
Amanda Warren
Amanda Warren is an American actress known for her prominent roles in television dramas, including a leading role in the TV adaptation of "The Purge."
-
C.
Amanda Morrow
Amanda Morrow is known as the former spouse of American politician and former Florida governor Charlie Crist.
-
D.
Amanda Thompson
Amanda Thompson is a prominent member of the Thompson family, known for her public profile and contributions that have brought recognition to the family name.
-
E.
Courtney A. Kemp
Courtney A. Kemp is an American television writer and producer best known for creating the hit crime drama franchise "Power" and its spin-offs.
- 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: Amanda Nunn Triple: [Belle, partOfEnsembleCastWith, Amanda Nunn]
Generated description
Amanda Nunn is an actress known for performing as part of the ensemble cast of the Australian TV series "Belle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Nunn Target entity description: Amanda Nunn is an actress known for performing as part of the ensemble cast of the Australian TV series "Belle."
-
A.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
B.
Amanda Warren
Amanda Warren is an American actress known for her prominent roles in television dramas, including a leading role in the TV adaptation of "The Purge."
-
C.
Amanda Morrow
Amanda Morrow is known as the former spouse of American politician and former Florida governor Charlie Crist.
-
D.
Amanda Thompson
Amanda Thompson is a prominent member of the Thompson family, known for her public profile and contributions that have brought recognition to the family name.
-
E.
Courtney A. Kemp
Courtney A. Kemp is an American television writer and producer best known for creating the hit crime drama franchise "Power" and its spin-offs.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f5323c8190aa239bad461b0857 |
completed | May 8, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fd55b6d4ec8190963e7361589efd43 |
completed | May 8, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd562a3e788190925589dfc7699fe5 |
completed | May 8, 2026, 3:19 a.m. |
Created at: April 9, 2026, 9:46 p.m.