Triple
T15079640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. L. Doctorow |
E380102
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Esther Setzer
Helen Esther Setzer was the wife of acclaimed American novelist E. L. Doctorow.
|
E1142654
|
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: Helen Esther Setzer | Statement: [E. L. Doctorow, spouse, Helen Esther Setzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Esther Setzer Context triple: [E. L. Doctorow, spouse, Helen Esther Setzer]
-
A.
Helene Strybing
Helene Strybing was a philanthropist whose generosity led to the establishment of the arboretum in San Francisco’s Golden Gate Park that bears her name.
-
B.
Helen Morgendorffer
Helen Morgendorffer is the career-driven, sharp-tongued mother of Daria Morgendorffer in the animated TV series "Daria."
-
C.
Lillian Vedder
Lillian Vedder was the wife of American film and television actor Dennis Morgan.
-
D.
Edith Starr Kusch
Edith Starr Kusch was the wife of Nobel Prize–winning physicist Polykarp Kusch and a member of New York’s scientific and cultural community in the mid-20th century.
-
E.
Myra Hess
Myra Hess was a renowned English pianist celebrated for her interpretations of classical repertoire and for organizing morale-boosting lunchtime concerts in London during World War II.
- 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: Helen Esther Setzer Triple: [E. L. Doctorow, spouse, Helen Esther Setzer]
Generated description
Helen Esther Setzer was the wife of acclaimed American novelist E. L. Doctorow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Esther Setzer Target entity description: Helen Esther Setzer was the wife of acclaimed American novelist E. L. Doctorow.
-
A.
Helene Strybing
Helene Strybing was a philanthropist whose generosity led to the establishment of the arboretum in San Francisco’s Golden Gate Park that bears her name.
-
B.
Helen Morgendorffer
Helen Morgendorffer is the career-driven, sharp-tongued mother of Daria Morgendorffer in the animated TV series "Daria."
-
C.
Lillian Vedder
Lillian Vedder was the wife of American film and television actor Dennis Morgan.
-
D.
Edith Starr Kusch
Edith Starr Kusch was the wife of Nobel Prize–winning physicist Polykarp Kusch and a member of New York’s scientific and cultural community in the mid-20th century.
-
E.
Myra Hess
Myra Hess was a renowned English pianist celebrated for her interpretations of classical repertoire and for organizing morale-boosting lunchtime concerts in London during World War II.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff80008c88190840f94222f867478 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31fa31c8190a22a27f5572e4334 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed3e43328819081017b9666ec324a |
completed | May 9, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed43b1dd48190b06a7b7fd4d88c93 |
completed | May 9, 2026, 6:29 a.m. |
Created at: April 10, 2026, 3:03 a.m.