Triple
T17488515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Tuesday |
E425836
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Lady Aberlin |
—
|
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: Lady Aberlin | Statement: [Prince Tuesday, appearsAlongside, Lady Aberlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Aberlin Context triple: [Prince Tuesday, appearsAlongside, Lady Aberlin]
-
A.
Lady Aberlin
chosen
Lady Aberlin is a kind, gentle, and imaginative recurring character from the Neighborhood of Make-Believe on the children's television series "Mister Rogers' Neighborhood."
-
B.
Lady Arbella Johnson
Lady Arbella Johnson was an English noblewoman and early Puritan settler in New England, remembered for her brief life in the Massachusetts Bay Colony and her symbolic role in its founding history.
-
C.
Susan Aubrey
Susan Aubrey is the daughter of American film and television actress Phyllis Thaxter.
-
D.
Sarah Aubrey
Sarah Aubrey is an American television and film producer known for her work on major studio projects and for holding senior executive roles at networks such as TNT and HBO Max.
-
E.
Mary Appleby
Mary Appleby is known as the spouse of Richard Butler.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d376708190a97804529174eaf2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.