Triple
T15390717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superstore |
E368035
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Jonathan Green
Jonathan Green is a television producer best known for his work as an executive producer on the NBC sitcom "Superstore."
|
E1154862
|
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: Jonathan Green | Statement: [Superstore, executiveProducer, Jonathan Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Green Context triple: [Superstore, executiveProducer, Jonathan Green]
-
A.
Theodore Winter
Theodore Winter is a high-ranking CIA officer and the main antagonist in the 2010 action thriller film "Salt."
-
B.
Charles Green
Charles Green was an 18th-century English astronomer who sailed with Captain James Cook to observe the 1769 transit of Venus and conduct astronomical measurements.
-
C.
Charles Green
Charles Green was the cook on Sir Ernest Shackleton’s Imperial Trans-Antarctic Expedition, known for maintaining the crew’s morale under extreme Antarctic conditions.
-
D.
Charles Green
Charles Green was an Anglican clergyman who became a prominent Welsh bishop and later Archbishop of Wales in the mid-20th century.
-
E.
Charles Green
Charles Green was a British illustrator known for his detailed work in Victorian periodicals and book illustrations.
- 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: Jonathan Green Triple: [Superstore, executiveProducer, Jonathan Green]
Generated description
Jonathan Green is a television producer best known for his work as an executive producer on the NBC sitcom "Superstore."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Green Target entity description: Jonathan Green is a television producer best known for his work as an executive producer on the NBC sitcom "Superstore."
-
A.
Theodore Winter
Theodore Winter is a high-ranking CIA officer and the main antagonist in the 2010 action thriller film "Salt."
-
B.
Charles Green
Charles Green was an 18th-century English astronomer who sailed with Captain James Cook to observe the 1769 transit of Venus and conduct astronomical measurements.
-
C.
Charles Green
Charles Green was the cook on Sir Ernest Shackleton’s Imperial Trans-Antarctic Expedition, known for maintaining the crew’s morale under extreme Antarctic conditions.
-
D.
Charles Green
Charles Green was an Anglican clergyman who became a prominent Welsh bishop and later Archbishop of Wales in the mid-20th century.
-
E.
Charles Green
Charles Green was a British illustrator known for his detailed work in Victorian periodicals and book illustrations.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.