Triple
T2461449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Ha |
E54542
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Michael Zegen
Michael Zegen is an American actor known for his roles in independent films and television series such as "The Marvelous Mrs. Maisel" and "Boardwalk Empire."
|
E268520
|
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: Michael Zegen | Statement: [Frances Ha, starring, Michael Zegen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Zegen Context triple: [Frances Ha, starring, Michael Zegen]
-
A.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
-
B.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
C.
Sebastian Maltz
Sebastian Maltz is an actor known for his role in the television drama series "Patrick Melrose."
-
D.
Michael Cerenzie
Michael Cerenzie is a film producer known for his work on independent and genre films in Hollywood.
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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: Michael Zegen Triple: [Frances Ha, starring, Michael Zegen]
Generated description
Michael Zegen is an American actor known for his roles in independent films and television series such as "The Marvelous Mrs. Maisel" and "Boardwalk Empire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Zegen Target entity description: Michael Zegen is an American actor known for his roles in independent films and television series such as "The Marvelous Mrs. Maisel" and "Boardwalk Empire."
-
A.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
-
B.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
C.
Sebastian Maltz
Sebastian Maltz is an actor known for his role in the television drama series "Patrick Melrose."
-
D.
Michael Cerenzie
Michael Cerenzie is a film producer known for his work on independent and genre films in Hollywood.
-
E.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d2b2748190b12611863d8bf4ad |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef3f1fb9481909748308457e6e3df |
completed | March 9, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef8398fd08190821e9503c01af80a |
completed | March 9, 2026, 4:41 p.m. |
Created at: March 6, 2026, 9:44 p.m.