Triple
T23434588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Jaspers |
E563421
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Lady Jaspers |
—
|
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 Jaspers | Statement: [Lady Jaspers, shortName, Lady Jaspers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Jaspers Context triple: [Lady Jaspers, shortName, Lady Jaspers]
-
A.
Lady Jaspers
chosen
Lady Jaspers is the name used for the women’s athletic teams representing Manhattan College in intercollegiate sports.
-
B.
Lady Kew
Lady Kew is a sharp-tongued, manipulative aristocratic matriarch in William Makepeace Thackeray’s novel "The Newcomes," known for her social ambition and domineering influence over her family.
-
C.
Lady Larken
Lady Larken is a romantic, high-strung noblewoman in the musical comedy "Once Upon a Mattress," whose secret pregnancy drives much of the plot’s urgency and humor.
-
D.
Anna Lucasta
Anna Lucasta is a mid-20th-century stage play, later adapted into films, that follows the turbulent life of a young woman estranged from her family and entangled in love, desire, and social prejudice.
-
E.
Elizabeth Jayne
Elizabeth Jayne is an actress known for her role in the 2014 film "Ride."
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5daabcc819094446a80723a487b |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.