Triple
T7711913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Kleiner |
E174779
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Doris Fisher Kleiner
Doris Fisher Kleiner is the wife of pioneering Silicon Valley venture capitalist and Fairchild Semiconductor co-founder Eugene Kleiner.
|
E687385
|
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: Doris Fisher Kleiner | Statement: [Eugene Kleiner, spouse, Doris Fisher Kleiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doris Fisher Kleiner Context triple: [Eugene Kleiner, spouse, Doris Fisher Kleiner]
-
A.
Dorothy Schiff
Dorothy Schiff was an American newspaper proprietor best known as the longtime owner and publisher of the New York Post in the mid-20th century.
-
B.
Marjorie Fried
Marjorie Fried was the wife of Nobel Prize–winning geneticist George W. Beadle.
-
C.
Dorothy Goetz
Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
-
D.
Pearl Eichelbaum
Pearl Eichelbaum was the mother of Jack Warner, one of the co-founders of Warner Bros.
-
E.
Betty Kaplan
Betty Kaplan is a film director and screenwriter best known for adapting literary works, including Isabel Allende’s novel "Of Love and Shadows," for the screen.
- 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: Doris Fisher Kleiner Triple: [Eugene Kleiner, spouse, Doris Fisher Kleiner]
Generated description
Doris Fisher Kleiner is the wife of pioneering Silicon Valley venture capitalist and Fairchild Semiconductor co-founder Eugene Kleiner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doris Fisher Kleiner Target entity description: Doris Fisher Kleiner is the wife of pioneering Silicon Valley venture capitalist and Fairchild Semiconductor co-founder Eugene Kleiner.
-
A.
Dorothy Schiff
Dorothy Schiff was an American newspaper proprietor best known as the longtime owner and publisher of the New York Post in the mid-20th century.
-
B.
Marjorie Fried
Marjorie Fried was the wife of Nobel Prize–winning geneticist George W. Beadle.
-
C.
Dorothy Goetz
Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
-
D.
Pearl Eichelbaum
Pearl Eichelbaum was the mother of Jack Warner, one of the co-founders of Warner Bros.
-
E.
Betty Kaplan
Betty Kaplan is a film director and screenwriter best known for adapting literary works, including Isabel Allende’s novel "Of Love and Shadows," for the screen.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ae8b20819096930fe4be41b7be |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7bca3208190b214e3ebb8fe8c0b |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c8698a388190a47d6636fe5d2bb4 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8f3873481908ef6efb2e39272db |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.