Triple
T22751817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Brackett |
E562720
|
entity |
| Predicate | fiancée |
P17846
|
FINISHED |
| Object | Emily Montgomery |
—
|
NE NERFINISHED |
How this triple was built (2 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: Emily Montgomery | Statement: [Howard Brackett, fiancée, Emily Montgomery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Montgomery Context triple: [Howard Brackett, fiancée, Emily Montgomery]
-
A.
Emily Montgomery
chosen
Emily Montgomery is a character in the comedy film "In & Out," known as the small-town schoolteacher engaged to Howard Brackett whose wedding plans are upended when he is outed as gay.
-
B.
Janet Montgomery
Janet Montgomery is a British actress known for her television roles in series such as "New Amsterdam" and "Salem."
-
C.
Emily Sullivan
Emily Sullivan is a fictional character from the science fiction television series "Jericho," portrayed by actress Ashley Scott.
-
D.
Nancy Montgomery
Nancy Montgomery is a pivotal character in Margaret Atwood’s novel "Alias Grace," serving as the housekeeper and mistress whose murder becomes central to the story’s mystery.
-
E.
Mary Garlington
Mary Garlington is an actress known for her role in the horror-comedy film "Elvira’s Haunted Hills."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b9ac348190bff4dc470931f7e3 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.