Triple
T12510492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissy Seaver |
E299062
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Kate Malone Seaver
Kate Malone Seaver is a character from the television series "Growing Pains," known as the wife of Chrissy Seaver.
|
E993582
|
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: Kate Malone Seaver | Statement: [Chrissy Seaver, relative, Kate Malone Seaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Malone Seaver Context triple: [Chrissy Seaver, relative, Kate Malone Seaver]
-
A.
Ruth Ellsworth
Ruth Ellsworth is a composer known for creating the musical score for the game Crossfire.
-
B.
Sarah Davenport
Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
-
C.
Maria Andrews
Maria Andrews is an American woman known primarily as the wife of businessman Neil Bush, a member of the prominent Bush political family.
-
D.
Mary Archer
Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
-
E.
Beth Seaton
Beth Seaton is a central character in the 1978 equestrian drama film "International Velvet," serving as one of the key figures in the protagonist's journey through competitive horse riding.
- 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: Kate Malone Seaver Triple: [Chrissy Seaver, relative, Kate Malone Seaver]
Generated description
Kate Malone Seaver is a character from the television series "Growing Pains," known as the wife of Chrissy Seaver.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Malone Seaver Target entity description: Kate Malone Seaver is a character from the television series "Growing Pains," known as the wife of Chrissy Seaver.
-
A.
Ruth Ellsworth
Ruth Ellsworth is a composer known for creating the musical score for the game Crossfire.
-
B.
Sarah Davenport
Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
-
C.
Maria Andrews
Maria Andrews is an American woman known primarily as the wife of businessman Neil Bush, a member of the prominent Bush political family.
-
D.
Mary Archer
Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
-
E.
Beth Seaton
Beth Seaton is a central character in the 1978 equestrian drama film "International Velvet," serving as one of the key figures in the protagonist's journey through competitive horse riding.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eac74608190a6f1941ed5a05212 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fadc97081908376913e390cfc3d |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f660c3d914819097b57784889ca389 |
completed | May 2, 2026, 8:38 p.m. |
Created at: April 8, 2026, 9:57 p.m.