Triple
T13969547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Page |
E336017
|
entity |
| Predicate | hasOnscreenFamilyMember |
P112429
|
FINISHED |
| Object | Peggy Page |
E1071073
|
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: Peggy Page | Statement: [Neil Page, hasOnscreenFamilyMember, Peggy Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Page Context triple: [Neil Page, hasOnscreenFamilyMember, Peggy Page]
-
A.
Peggy Page
chosen
Peggy Page is a fictional character known as the daughter of Neal Page in the 1987 comedy film "Planes, Trains and Automobiles."
-
B.
Jenny Whiteman
Jenny Whiteman is a member of the Whiteman family, known primarily as the daughter of Dave Whiteman.
-
C.
Madge Evans
Madge Evans was an American stage and film actress of the early 20th century, known for her work in both silent and sound films.
-
D.
Barbara Whiteman
Barbara Whiteman is a wealthy, neurotic Beverly Hills housewife whose life is upended by a homeless man in the comedy film "Down and Out in Beverly Hills."
-
E.
Barbara Whiteman
Barbara Whiteman is known as the wife of Dave Whiteman.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5aa828819098ef55a70a0decbc |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac90250881908f1945793d261752 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.