Triple
T6994227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosetta Douglass |
E162163
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nathan Sprague
Nathan Sprague was the husband of Rosetta Douglass, the eldest daughter of abolitionist leader Frederick Douglass.
|
E635896
|
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: Nathan Sprague | Statement: [Rosetta Douglass, spouse, Nathan Sprague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Sprague Context triple: [Rosetta Douglass, spouse, Nathan Sprague]
-
A.
Nathan Nugent
Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
-
B.
Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
-
C.
Nathan Gardner
Nathan Gardner is a person known primarily as a relative of Susan Gardner.
-
D.
Nate Heller
Nate Heller is a film composer and songwriter known for his emotionally resonant scores for movies such as "A Beautiful Day in the Neighborhood" and "Can You Ever Forgive Me?".
-
E.
Nate Morgan
Nate Morgan is a musician best known as a member of the American funk band Rufus.
- 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: Nathan Sprague Triple: [Rosetta Douglass, spouse, Nathan Sprague]
Generated description
Nathan Sprague was the husband of Rosetta Douglass, the eldest daughter of abolitionist leader Frederick Douglass.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathan Sprague Target entity description: Nathan Sprague was the husband of Rosetta Douglass, the eldest daughter of abolitionist leader Frederick Douglass.
-
A.
Nathan Nugent
Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
-
B.
Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
-
C.
Nathan Gardner
Nathan Gardner is a person known primarily as a relative of Susan Gardner.
-
D.
Nate Heller
Nate Heller is a film composer and songwriter known for his emotionally resonant scores for movies such as "A Beautiful Day in the Neighborhood" and "Can You Ever Forgive Me?".
-
E.
Nate Morgan
Nate Morgan is a musician best known as a member of the American funk band Rufus.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeaa88c8190a49f8504c1793e1f |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a1adec88190a769ec7af0fa7b51 |
completed | March 28, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69c76aac21448190ac2b94c836f2f725 |
completed | March 28, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76b3efc0081909e506f9a828d4fd8 |
completed | March 28, 2026, 5:46 a.m. |
Created at: March 27, 2026, 2:32 p.m.