Triple
T5062891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby Aldridge |
E114066
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Laura Lyons |
E80097
|
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: Laura Lyons | Statement: [Ruby Aldridge, mother, Laura Lyons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Lyons Context triple: [Ruby Aldridge, mother, Laura Lyons]
-
A.
Laura Lyons
chosen
Laura Lyons is the mother of American fashion model Lily Aldridge.
-
B.
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
C.
Meredith Blake
Meredith Blake is the glamorous, gold-digging fiancée of Nick Parker and primary antagonist in the 1998 film "The Parent Trap."
-
D.
Joan Holloway
Joan Holloway is a poised and ambitious office manager-turned-partner at a 1960s New York advertising agency in the television series "Mad Men," known for her sharp wit, competence, and complex personal life.
-
E.
Marian Forrester
Marian Forrester is the charismatic, enigmatic heroine of Willa Cather’s novel "A Lost Lady," symbolizing the fading grace and ideals of the American frontier aristocracy.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7475be3c819085cde8ec544c407e |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea497fed0819098746fd8917f041c |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.