Triple
T19583653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podkayne of Mars |
E490055
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object | Podkayne Fries |
—
|
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: Podkayne Fries | Statement: [Podkayne of Mars, narrator, Podkayne Fries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Podkayne Fries Context triple: [Podkayne of Mars, narrator, Podkayne Fries]
-
A.
Podkayne Fries
chosen
Podkayne Fries is the ambitious, spacefaring teenage heroine of Robert A. Heinlein’s science fiction novel "Podkayne of Mars."
-
B.
Angelfood McSpade
Angelfood McSpade is a controversial, racially caricatured Black female character from Robert Crumb’s underground comix, often cited in discussions of racism and sexism in his work.
-
C.
Franky
Franky is a cyborg shipwright and member of the Straw Hat Pirates in the manga and anime series One Piece.
-
D.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
-
E.
Leslie
Leslie is the middle name of early 20th-century Major League Baseball pitcher Hippo Vaughn, a standout left-hander best known for his time with the Chicago Cubs.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6404f34b081908aeb9cc9a5ddf539 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.