Triple
T12255295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Henry de Young |
E292083
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Constance de Young
Constance de Young is a member of the prominent de Young family of San Francisco, known for their influence in publishing and the arts.
|
E974132
|
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: Constance de Young | Statement: [Michael Henry de Young, hasChild, Constance de Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constance de Young Context triple: [Michael Henry de Young, hasChild, Constance de Young]
-
A.
Constance Cummings
Constance Cummings was a British-American actress known for her work in 1930s Hollywood comedies and later acclaimed stage performances in the United Kingdom.
-
B.
Constance Holt
Constance Holt was the wife of British actor and film producer Edward Chapman.
-
C.
Constance Cunningham
Constance Cunningham is a notable individual bearing the Cunningham surname, recognized as a distinguished member of that family line.
-
D.
Constance Archibald
Constance Archibald was the wife of Spanish diplomat, writer, and historian Salvador de Madariaga.
-
E.
Constance Congdon
Constance Congdon is an American playwright known for her inventive language, dark humor, and acclaimed works such as "Tales of the Lost Formicans."
- 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: Constance de Young Triple: [Michael Henry de Young, hasChild, Constance de Young]
Generated description
Constance de Young is a member of the prominent de Young family of San Francisco, known for their influence in publishing and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Constance de Young Target entity description: Constance de Young is a member of the prominent de Young family of San Francisco, known for their influence in publishing and the arts.
-
A.
Constance Cummings
Constance Cummings was a British-American actress known for her work in 1930s Hollywood comedies and later acclaimed stage performances in the United Kingdom.
-
B.
Constance Holt
Constance Holt was the wife of British actor and film producer Edward Chapman.
-
C.
Constance Cunningham
Constance Cunningham is a notable individual bearing the Cunningham surname, recognized as a distinguished member of that family line.
-
D.
Constance Archibald
Constance Archibald was the wife of Spanish diplomat, writer, and historian Salvador de Madariaga.
-
E.
Constance Congdon
Constance Congdon is an American playwright known for her inventive language, dark humor, and acclaimed works such as "Tales of the Lost Formicans."
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc9dd5081908880061d52351850 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5bc1fc8190af9d74acc307ebe1 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6203ef5008190af9103460b096cff |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:52 p.m.