Triple
T17476348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Ra at Heliopolis |
E425547
|
entity |
| Predicate | associatedDeity |
P1481
|
FINISHED |
| Object | Seth |
—
|
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: Seth | Statement: [Temple of Ra at Heliopolis, associatedDeity, Seth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Context triple: [Temple of Ra at Heliopolis, associatedDeity, Seth]
-
A.
Seth
Seth is a central protagonist in Cory Doctorow’s science fiction novel "Walkaway," navigating a post-scarcity world of open-source communities and radical social change.
-
B.
Seth
chosen
Seth is the ancient Egyptian god associated with chaos, storms, and disorder, best known as the rival and brother of Osiris and uncle of Horus.
-
C.
Seth
Seth is a character from the fantasy adventure film "Beastmaster III: The Eye of Braxus," part of the Beastmaster sword-and-sorcery franchise.
-
D.
Seth
Seth is a loud, insecure, and foul-mouthed high school senior in the comedy film "Superbad," known for his desperate attempts to gain social and sexual experience before graduation.
-
E.
Seth
Seth is a fictional pet character who serves as the central figure in the story.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bc3f908190b2c7a2d1f75a43f2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.