Triple
T21248100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwin McMillan |
E523669
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ann McMillan |
—
|
NE NERFINISHED |
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: Ann McMillan | Statement: [Edwin McMillan, child, Ann McMillan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann McMillan Context triple: [Edwin McMillan, child, Ann McMillan]
-
A.
Ann McMillan
chosen
Ann McMillan is the daughter of American physicist and Nobel laureate Edwin McMillan.
-
B.
Ann MacMillan
Ann MacMillan is a Canadian journalist and broadcaster, known for her long career with the CBC and as the mother of British historian and television presenter Dan Snow.
-
C.
Ann Denman
Ann Denman is an individual whose specific public background or notable achievements are not clearly identifiable from the available information.
-
D.
Ann Denman
Ann Denman was the wife of renowned English neoclassical sculptor John Flaxman, known primarily through her close association with his life and work.
-
E.
Laura Mennell
Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359b756c819085480ca4174c53c2 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:55 p.m.