Triple
T20817045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry |
E512466
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Justin W. Hochberg
Justin W. Hochberg is a television and media producer known for developing and executive producing reality and unscripted entertainment projects.
|
E1458899
|
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: Justin W. Hochberg | Statement: [Harry, executiveProducer, Justin W. Hochberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin W. Hochberg Context triple: [Harry, executiveProducer, Justin W. Hochberg]
-
A.
Josh Weinstock
Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
-
B.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
C.
Justin O. Zimmer
Justin O. Zimmer was an American orthopedic industry pioneer and entrepreneur who founded the medical device company that became Zimmer Biomet.
-
D.
Jesse M. Feldman
Jesse M. Feldman is a cinematographer known for his work on feature films such as the holiday comedy "The Perfect Holiday."
-
E.
Eric L. Zinterhofer
Eric L. Zinterhofer is an American private equity investor and media executive known for his leadership roles in the telecommunications and cable industry.
- 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: Justin W. Hochberg Triple: [Harry, executiveProducer, Justin W. Hochberg]
Generated description
Justin W. Hochberg is a television and media producer known for developing and executive producing reality and unscripted entertainment projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Justin W. Hochberg Target entity description: Justin W. Hochberg is a television and media producer known for developing and executive producing reality and unscripted entertainment projects.
-
A.
Josh Weinstock
Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
-
B.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
C.
Justin O. Zimmer
Justin O. Zimmer was an American orthopedic industry pioneer and entrepreneur who founded the medical device company that became Zimmer Biomet.
-
D.
Jesse M. Feldman
Jesse M. Feldman is a cinematographer known for his work on feature films such as the holiday comedy "The Perfect Holiday."
-
E.
Eric L. Zinterhofer
Eric L. Zinterhofer is an American private equity investor and media executive known for his leadership roles in the telecommunications and cable industry.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f3473c81908c43a2ec242b1acd |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092774eda48190a2d0039e2ce63648 |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0928a53e3c8190a8e636f5f1387f73 |
completed | May 17, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0929485ebc8190ab8bc316b3e802ca |
completed | May 17, 2026, 2:34 a.m. |
Created at: April 16, 2026, 12:41 p.m.