Triple
T9798482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Eastman |
E237774
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Yvette Szekely
Yvette Szekely was the wife of American writer and socialist intellectual Max Eastman.
|
E824633
|
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: Yvette Szekely | Statement: [Max Eastman, spouse, Yvette Szekely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvette Szekely Context triple: [Max Eastman, spouse, Yvette Szekely]
-
A.
Paula Dobriansky
Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
-
B.
Eniko Parrish
Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
-
C.
Cornelia Srebnick
Cornelia Srebnick is a central character in the film "While We're Young," portrayed as a woman navigating marriage, creativity, and generational tensions in contemporary New York City.
-
D.
Diana Pokorny
Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
-
E.
Nancy Zala
Nancy Zala was the wife of American actor and director Howard Da Silva.
- 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: Yvette Szekely Triple: [Max Eastman, spouse, Yvette Szekely]
Generated description
Yvette Szekely was the wife of American writer and socialist intellectual Max Eastman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yvette Szekely Target entity description: Yvette Szekely was the wife of American writer and socialist intellectual Max Eastman.
-
A.
Paula Dobriansky
Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
-
B.
Eniko Parrish
Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
-
C.
Cornelia Srebnick
Cornelia Srebnick is a central character in the film "While We're Young," portrayed as a woman navigating marriage, creativity, and generational tensions in contemporary New York City.
-
D.
Diana Pokorny
Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
-
E.
Nancy Zala
Nancy Zala was the wife of American actor and director Howard Da Silva.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda627cc2c81909ccc2e26751f5e85 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5abb26c81909d597b65f24f9bcf |
completed | April 5, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69d1d6463fe481908e5d3f3fd22cffa4 |
completed | April 5, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d6dc0bd8819082a5ad417ca87a76 |
completed | April 5, 2026, 3:28 a.m. |
Created at: March 30, 2026, 8:28 p.m.