Triple
T13109670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac |
E310936
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Mrs. McDonald |
E367147
|
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: Mrs. McDonald | Statement: [Mac, mother, Mrs. McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. McDonald Context triple: [Mac, mother, Mrs. McDonald]
-
A.
Mrs. McDonald
chosen
Mrs. McDonald is Mac's mother, a parental figure associated with him in their shared context or story.
-
B.
Mrs. Baker
Mrs. Baker is a character in Neil Simon’s comedy "Come Blow Your Horn," typically portrayed as the overprotective, traditional Jewish mother in the Baker family.
-
C.
Mrs. O'Brien
Mrs. O'Brien is the mother of Jack O'Brien, a central figure in Terrence Malick's film "The Tree of Life."
-
D.
Mollie McDonald
Mollie McDonald is a fictional character best known as the mother of John Ross in the "Dallas" television franchise.
-
E.
Mrs. Harling
Mrs. Harling is a strong-willed, warm-hearted matron in Willa Cather’s "My Ántonia" who provides Ántonia with a lively, nurturing home in town.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.