Triple
T5140964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunt Em’s farm |
E115949
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Aunt Em |
E115950
|
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: Aunt Em | Statement: [Aunt Em’s farm, owner, Aunt Em]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aunt Em Context triple: [Aunt Em’s farm, owner, Aunt Em]
-
A.
Aunt Em
chosen
Aunt Em is Dorothy Gale’s caring but practical guardian in L. Frank Baum’s Oz series, best known from "The Wonderful Wizard of Oz."
-
B.
Aunt Polly
Aunt Polly is Tom Sawyer’s strict but loving aunt and guardian in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
-
C.
Jim Dear
Jim Dear is the kindly human owner of Lady in Disney's animated film "Lady and the Tramp," depicted as a loving husband and dog caretaker.
-
D.
Aunt Jane
Aunt Jane is a character in Louisa May Alcott’s novel "Eight Cousins," known as one of the aunts who helps shape the upbringing and moral education of the orphaned heroine, Rose Campbell.
-
E.
Nannie
Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787e5fe88190834042a73d4d9619 |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee06d63f8819081db05c0e5a06276 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:43 p.m.