Triple
T7843377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irma Frost |
E181857
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Elinor Frost |
E217645
|
NE FINISHED |
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: Elinor Frost | Statement: [Irma Frost, notableRelative, Elinor Frost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elinor Frost Context triple: [Irma Frost, notableRelative, Elinor Frost]
-
A.
Elinor Bettina Frost
chosen
Elinor Bettina Frost was one of the daughters of renowned American poet Robert Frost.
-
B.
Charlotte Andergast
Charlotte Andergast is the emotionally distant concert pianist mother at the center of Ingmar Bergman’s film "Autumn Sonata," whose strained relationship with her daughter drives the story’s intense psychological drama.
-
C.
Clarissa Oakes
Clarissa Oakes is a historical naval novel by Patrick O’Brian, part of the Aubrey–Maturin series following Captain Jack Aubrey and physician Stephen Maturin during the Napoleonic Wars.
-
D.
Willa Weston
Willa Weston is a driven and ambitious executive character in the comedy film "Fierce Creatures," known for her sharp wit and corporate savvy.
-
E.
Marianne Stone
Marianne Stone was a British character actress known for her prolific supporting roles in numerous mid-20th-century films and television series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163b32688190b463a9cd8fa3c690 |
completed | March 31, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc639b68a4819080acfca35e498cfa |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 4:48 p.m.