Triple
T10242458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Maynard |
E243628
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object | Louisa Maynard |
E856735
|
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: Louisa Maynard | Statement: [Victor Maynard, trainedBy, Louisa Maynard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louisa Maynard Context triple: [Victor Maynard, trainedBy, Louisa Maynard]
-
A.
Louisa Maynard
chosen
Louisa Maynard is the mother of Victor Maynard, a character in the British black comedy film "Wild Target."
-
B.
Louisa May
Louisa May is a daughter of Queen guitarist and astrophysicist Brian May.
-
C.
Abigail May Alcott
Abigail May Alcott was a 19th-century American social worker, reformer, and abolitionist best known as the mother and moral influence of author Louisa May Alcott.
-
D.
Mary Ann Montgomery Forrest
Mary Ann Montgomery Forrest was the wife of Confederate cavalry general Nathan Bedford Forrest and a 19th-century American woman known primarily through her association with him.
-
E.
Olivia Langdon Clemens
Olivia Langdon Clemens was the educated, reform-minded wife of author Mark Twain, known for her strong moral influence on his work and her involvement in social causes.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d229c1ac8190a86e911aea47a56d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7949f4f1c8190927bd184dd2a7a5a |
completed | April 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 11:25 a.m.