Triple
T16097549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Insider |
E390525
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Kevin Gershan
Kevin Gershan is a television producer best known for his long-running work as an executive producer on the entertainment news program "The Insider."
|
E1399134
|
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: Kevin Gershan | Statement: [The Insider, executiveProducer, Kevin Gershan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Gershan Context triple: [The Insider, executiveProducer, Kevin Gershan]
-
A.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
B.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
C.
Alan Greisman
Alan Greisman is an American film producer known for his work on movies such as "Fletch" and "Soapdish" and for his former marriage to actress Sally Field.
-
D.
Alan Greisman
Alan Greisman is an American film producer known for his work on major Hollywood movies, including the comedy-drama "The Bucket List."
-
E.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
- 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: Kevin Gershan Triple: [The Insider, executiveProducer, Kevin Gershan]
Generated description
Kevin Gershan is a television producer best known for his long-running work as an executive producer on the entertainment news program "The Insider."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Gershan Target entity description: Kevin Gershan is a television producer best known for his long-running work as an executive producer on the entertainment news program "The Insider."
-
A.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
B.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
C.
Alan Greisman
Alan Greisman is an American film producer known for his work on movies such as "Fletch" and "Soapdish" and for his former marriage to actress Sally Field.
-
D.
Alan Greisman
Alan Greisman is an American film producer known for his work on major Hollywood movies, including the comedy-drama "The Bucket List."
-
E.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d41e00d88190a0cf2c1dd598f551 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d81e5bc881909b109afa7cf71384 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d91c50648190a2a9f13daad545fd |
completed | May 16, 2026, 2:40 a.m. |
Created at: April 10, 2026, 4:59 a.m.