Triple
T6827073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea of Stories |
E157041
|
entity |
| Predicate | visitedBy |
P1096
|
FINISHED |
| Object | Iff the Water Genie |
E155959
|
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: Iff the Water Genie | Statement: [Sea of Stories, visitedBy, Iff the Water Genie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iff the Water Genie Context triple: [Sea of Stories, visitedBy, Iff the Water Genie]
-
A.
Iff the Water Genie
chosen
Iff the Water Genie is a whimsical, pipe-smoking water spirit who guides the young hero Haroun through the magical Sea of Stories in Salman Rushdie’s novel.
-
B.
Two Djinn
"Two Djinn" is a song by the band RatDog, known for blending rock, jazz, and improvisational jam elements.
-
C.
The Wizard
The Wizard is the enigmatic and ultimately humbug ruler of the Emerald City in L. Frank Baum’s classic tale "The Wizard of Oz."
-
D.
The Wizard
The Wizard is the famous nickname of Hall of Fame shortstop Ozzie Smith, renowned for his exceptional defensive skills and acrobatic plays in Major League Baseball.
-
E.
The Magic
The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58583a4819099edbf753c7c7087 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fa6fc80819081f012ea2207c25a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.