Triple
T1331133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swarm (television series) |
E28645
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Steven Prinz
Steven Prinz is a television producer best known for his executive production work on the acclaimed series "Swarm."
|
E176048
|
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: Steven Prinz | Statement: [Swarm (television series), executiveProducer, Steven Prinz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Prinz Context triple: [Swarm (television series), executiveProducer, Steven Prinz]
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
D.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
E.
Nicholas Poppe
Nicholas Poppe was a prominent 20th-century linguist and Turkologist known for his influential work on the classification and comparative study of Central Asian and so-called Altaic languages.
- 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: Steven Prinz Triple: [Swarm (television series), executiveProducer, Steven Prinz]
Generated description
Steven Prinz is a television producer best known for his executive production work on the acclaimed series "Swarm."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven Prinz Target entity description: Steven Prinz is a television producer best known for his executive production work on the acclaimed series "Swarm."
-
A.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
D.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
E.
Nicholas Poppe
Nicholas Poppe was a prominent 20th-century linguist and Turkologist known for his influential work on the classification and comparative study of Central Asian and so-called Altaic languages.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c5f86c819098e98b046968954a |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3083a3748190b2404ef5edf90fd7 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad31dcdef0819093276857b247ecea |
completed | March 8, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad32f287008190b66c9e626a0f39f1 |
completed | March 8, 2026, 8:27 a.m. |
Created at: March 1, 2026, 7:55 p.m.