Triple
T13334440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall Pearson |
E317652
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Beth Pearson |
E525101
|
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: Beth Pearson | Statement: [Randall Pearson, spouse, Beth Pearson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Pearson Context triple: [Randall Pearson, spouse, Beth Pearson]
-
A.
Beth Pearson
chosen
Beth Pearson is a central character on the television drama "This Is Us," known for her role as Randall Pearson's supportive and sharp-witted wife.
-
B.
Marilyn Pearson
Marilyn Pearson is a fictional character from the television drama "This Is Us," known as the mother of Jack Pearson.
-
C.
Virginia Pearson
Virginia Pearson was an American silent film actress known for her dramatic roles in early 20th-century cinema.
-
D.
Caroline Pearson
Caroline Pearson was the wife of English postal reformer Rowland Hill, known primarily through her association with his pioneering work on the modern postal system.
-
E.
Beatrice Pearson
Beatrice Pearson was an American film actress best known for her leading role in the 1948 film noir "Force of Evil."
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d3cf3881908fdfc56bd31e5fe2 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:30 p.m.