Triple
T8129735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camping |
E189823
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Alison Benson
Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
|
E722524
|
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: Alison Benson | Statement: [Camping, executiveProducer, Alison Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Benson Context triple: [Camping, executiveProducer, Alison Benson]
-
A.
Alison Brown
Alison Brown is a film industry professional best known for her role in founding the American animation company Blue Sky Studios.
-
B.
Alison Wright
Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
-
C.
Alison Porter
Alison Porter is a central character in John Osborne’s play "Look Back in Anger," portrayed as the emotionally conflicted and long-suffering wife of the protagonist, Jimmy Porter.
-
D.
Alison Garland
Alison Garland is a British actress best known for her role in Mike Leigh’s film "All or Nothing."
-
E.
Alison Moore
Alison Moore is an Australian lexicographer who serves as the editor-in-chief of the Macquarie Dictionary, a leading dictionary of Australian English.
- 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: Alison Benson Triple: [Camping, executiveProducer, Alison Benson]
Generated description
Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alison Benson Target entity description: Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
-
A.
Alison Brown
Alison Brown is a film industry professional best known for her role in founding the American animation company Blue Sky Studios.
-
B.
Alison Wright
Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
-
C.
Alison Porter
Alison Porter is a central character in John Osborne’s play "Look Back in Anger," portrayed as the emotionally conflicted and long-suffering wife of the protagonist, Jimmy Porter.
-
D.
Alison Garland
Alison Garland is a British actress best known for her role in Mike Leigh’s film "All or Nothing."
-
E.
Alison Moore
Alison Moore is an Australian lexicographer who serves as the editor-in-chief of the Macquarie Dictionary, a leading dictionary of Australian English.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd678a4b548190b9d1a584d9139888 |
completed | April 1, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_69cd6c1f75748190b119acd0d92f2ef9 |
completed | April 1, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7da4f3a0819080eed3d03c293789 |
completed | April 1, 2026, 8:18 p.m. |
Created at: March 30, 2026, 5:34 p.m.