Triple
T16062874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliot Alderson |
E389655
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object | Magda Alderson |
E445249
|
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: Magda Alderson | Statement: [Elliot Alderson, hasParent, Magda Alderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magda Alderson Context triple: [Elliot Alderson, hasParent, Magda Alderson]
-
A.
Magda Alderson
chosen
Magda Alderson is a character in the television series "Mr. Robot," known primarily as a member of Elliot Alderson’s family.
-
B.
Maud Gernon
Maud Gernon was the wife of American lawyer and suffragist Dudley Field Malone, known primarily in historical records through this marriage.
-
C.
Maud Aiken
Maud Aiken was the wife of Irish revolutionary and long-serving politician Frank Aiken, associated with Ireland’s early 20th-century political and social life.
-
D.
Maud Brewster
Maud Brewster is a cultured and resilient poet and literary critic who becomes a central figure and love interest amid the brutal sea adventure in Jack London’s novel "The Sea-Wolf."
-
E.
Elizabeth Denniston
Elizabeth Denniston was the wife of Irish-born American surveyor and Revolutionary War officer Charles Clinton.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837a04108190b5a1dbbe2063039e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d9849a08190a575f19e816e6df2 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 4:57 a.m.