Triple
T8129734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camping |
E189823
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Regina Heyman
Regina Heyman is a television producer best known for her executive production work on the HBO comedy series "Camping."
|
E720237
|
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: Regina Heyman | Statement: [Camping, executiveProducer, Regina Heyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regina Heyman Context triple: [Camping, executiveProducer, Regina Heyman]
-
A.
Rebecca Hutman
Rebecca Hutman is a museum docent and Larry Daley’s love interest in the "Night at the Museum" film series.
-
B.
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
-
C.
Alison Schapker
Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
-
D.
Catherine Meyer
Catherine Meyer is the socially awkward, long-suffering daughter of fictional U.S. Vice President and President Selina Meyer on the television series "Veep."
-
E.
Alice Dannenberg
Alice Dannenberg was a Russian-born French painter and influential art teacher best known as a co-founder of the progressive Parisian art school Académie de la Grande Chaumière.
- 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: Regina Heyman Triple: [Camping, executiveProducer, Regina Heyman]
Generated description
Regina Heyman is a television producer best known for her executive production work on the HBO comedy series "Camping."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regina Heyman Target entity description: Regina Heyman is a television producer best known for her executive production work on the HBO comedy series "Camping."
-
A.
Rebecca Hutman
Rebecca Hutman is a museum docent and Larry Daley’s love interest in the "Night at the Museum" film series.
-
B.
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
-
C.
Alison Schapker
Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
-
D.
Catherine Meyer
Catherine Meyer is the socially awkward, long-suffering daughter of fictional U.S. Vice President and President Selina Meyer on the television series "Veep."
-
E.
Alice Dannenberg
Alice Dannenberg was a Russian-born French painter and influential art teacher best known as a co-founder of the progressive Parisian art school Académie de la Grande Chaumière.
- 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_69cd3457196081909f739af8c17b4d4c |
completed | April 1, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69cd36ecc1d88190a978f1d51b0e1382 |
completed | April 1, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4e9d362481908283d58b03c7ef9b |
completed | April 1, 2026, 4:58 p.m. |
Created at: March 30, 2026, 5:34 p.m.