Triple
T7217967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Dower |
E150183
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dower
Dower is a surname of English origin historically associated with legal and familial contexts.
|
E649960
|
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: Dower | Statement: [John W. Dower, familyName, Dower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dower Context triple: [John W. Dower, familyName, Dower]
-
A.
Casti connubii
Casti connubii is a 1930 papal encyclical by Pope Pius XI that articulates Catholic teaching on Christian marriage, including its purposes, indissolubility, and opposition to contraception and divorce.
-
B.
Marié
Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
-
C.
The Estate
The Estate is a 2022 dark comedy film about feuding relatives scheming to win the favor of their terminally ill, wealthy aunt in hopes of inheriting her fortune.
-
D.
Bride
The Bride symbolizes the Shekhinah, representing the feminine, immanent presence of the Divine in Jewish mysticism.
-
E.
The Wedding
"The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
- 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: Dower Triple: [John W. Dower, familyName, Dower]
Generated description
Dower is a surname of English origin historically associated with legal and familial contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dower Target entity description: Dower is a surname of English origin historically associated with legal and familial contexts.
-
A.
Casti connubii
Casti connubii is a 1930 papal encyclical by Pope Pius XI that articulates Catholic teaching on Christian marriage, including its purposes, indissolubility, and opposition to contraception and divorce.
-
B.
Marié
Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
-
C.
The Estate
The Estate is a 2022 dark comedy film about feuding relatives scheming to win the favor of their terminally ill, wealthy aunt in hopes of inheriting her fortune.
-
D.
Bride
The Bride symbolizes the Shekhinah, representing the feminine, immanent presence of the Divine in Jewish mysticism.
-
E.
The Wedding
"The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99170d88190b1aef326a7d81134 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbfb46388190992cc98039e71748 |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7cce6a290819096ff68333cd3a3cf |
completed | March 28, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd9966e481909eb3c23bb59777d9 |
completed | March 28, 2026, 12:46 p.m. |
Created at: March 27, 2026, 2:53 p.m.