Triple
T9356891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In One Person |
E225161
|
entity |
| Predicate | hasLGBTCharacter |
P88125
|
FINISHED |
| Object |
Miss Frost
Miss Frost is a pivotal transgender character in John Irving’s novel "In One Person," embodying themes of gender identity, desire, and self-discovery.
|
E794624
|
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: Miss Frost | Statement: [In One Person, hasLGBTCharacter, Miss Frost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Frost Context triple: [In One Person, hasLGBTCharacter, Miss Frost]
-
A.
Daphne Moon
Daphne Moon is a quirky, psychic-leaning live-in physical therapist and housekeeper who becomes a central member of the Crane household on the television sitcom "Frasier."
-
B.
Jeanie Frost
Jeanie Frost is a person known primarily as the sibling of Elliott Frost.
-
C.
Moira MacTaggert
Moira MacTaggert is a human ally of the X-Men, often portrayed as a brilliant geneticist and expert on mutantkind in Marvel’s X-Men universe.
-
D.
Natasha Caine
Natasha Caine is a British personality best known as the daughter of acclaimed actor Sir Michael Caine.
-
E.
Margaret Lemon
Margaret Lemon is a fictional character on the television series "30 Rock," known as the overbearing and critical mother of protagonist Liz Lemon.
- 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: Miss Frost Triple: [In One Person, hasLGBTCharacter, Miss Frost]
Generated description
Miss Frost is a pivotal transgender character in John Irving’s novel "In One Person," embodying themes of gender identity, desire, and self-discovery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miss Frost Target entity description: Miss Frost is a pivotal transgender character in John Irving’s novel "In One Person," embodying themes of gender identity, desire, and self-discovery.
-
A.
Daphne Moon
Daphne Moon is a quirky, psychic-leaning live-in physical therapist and housekeeper who becomes a central member of the Crane household on the television sitcom "Frasier."
-
B.
Jeanie Frost
Jeanie Frost is a person known primarily as the sibling of Elliott Frost.
-
C.
Moira MacTaggert
Moira MacTaggert is a human ally of the X-Men, often portrayed as a brilliant geneticist and expert on mutantkind in Marvel’s X-Men universe.
-
D.
Natasha Caine
Natasha Caine is a British personality best known as the daughter of acclaimed actor Sir Michael Caine.
-
E.
Margaret Lemon
Margaret Lemon is a fictional character on the television series "30 Rock," known as the overbearing and critical mother of protagonist Liz Lemon.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4fee9d4c8190a7d121c9487ccca2 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3da85d48190966682b0f1965a53 |
completed | April 4, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d0f619e91081909c2ec17e89376295 |
completed | April 4, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f6ce1a0c8190aca34958935e0e59 |
completed | April 4, 2026, 11:32 a.m. |
Created at: March 30, 2026, 7:42 p.m.