Triple
T252126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Klein |
E5170
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
|
E78031
|
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 Klein | Statement: [Naomi Klein, parent, Michael Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Klein Context triple: [Naomi Klein, parent, Michael Klein]
-
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.
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.
-
D.
Eric Friedman
Eric Friedman is an American entrepreneur best known as the co-founder and chief technology officer of the wearable fitness technology company Fitbit.
-
E.
Neil Meron
Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
- 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 Klein Triple: [Naomi Klein, parent, Michael Klein]
Generated description
Michael Klein is the father of Canadian author and activist Naomi Klein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Klein Target entity description: Michael Klein is the father of Canadian author and activist Naomi Klein.
-
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.
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.
-
D.
Eric Friedman
Eric Friedman is an American entrepreneur best known as the co-founder and chief technology officer of the wearable fitness technology company Fitbit.
-
E.
Neil Meron
Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d39eb3881909f435043c8697f13 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a563c01ccc8190a8b9d3ce78ff8ca5 |
completed | March 2, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69a565835d7c8190b5103f21ad509b40 |
completed | March 2, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5662d775481908700fbd2e6809465 |
completed | March 2, 2026, 10:27 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.