Triple
T2222593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Langdon |
E48174
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Olivia Langdon |
E48174
|
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: Olivia Langdon | Statement: [Olivia Langdon, name, Olivia Langdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Langdon Context triple: [Olivia Langdon, name, Olivia Langdon]
-
A.
Olivia Langdon
chosen
Olivia Langdon was the wife of American author Mark Twain (Samuel Clemens) and a key influence and editor of his literary work.
-
B.
Abigail Cruttenden
Abigail Cruttenden is an English actress known for her work in film, television, and theatre, including roles in period dramas and British TV series.
-
C.
Olivia Brown
Olivia Brown is known as the spouse of American actor Mykelti Williamson, recognized for his roles in films like "Forrest Gump."
-
D.
Elizabeth Howland
Elizabeth Howland was a colonial-era New England woman known primarily as a daughter of Mayflower passenger and Plymouth Colony settler John Howland.
-
E.
Madeline Stavely
Madeline Stavely is a central fictional character in Anthony Trollope’s novel "Orley Farm," around whom much of the story’s emotional and social drama revolves.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03bfdd48190bfb96ec3e41c22dc |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6afc6dd881909dd51d8a18ab4c74 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:47 p.m.