Triple
T13351233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil Mondavarious |
E318072
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Spooky Island |
E318073
|
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: Spooky Island | Statement: [Emil Mondavarious, owns, Spooky Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spooky Island Context triple: [Emil Mondavarious, owns, Spooky Island]
-
A.
Spooky Island
chosen
Spooky Island is a fictional horror-themed amusement park and tropical resort that serves as the main setting of the 2002 live-action film "Scooby-Doo."
-
B.
Spook Island
Spook Island is a small, locally known island situated within Rice Lake, often noted in regional geography and recreation.
-
C.
Ghost Island
Ghost Island is a small, likely uninhabited island located within Wabigoon Lake in northwestern Ontario, Canada.
-
D.
Spook
Spook is a laid-back, beatnik-style alley cat and one of Top Cat’s loyal gang members in the classic Hanna-Barbera animated series.
-
E.
Spooky Gulch
Spooky Gulch is a famously narrow and twisting slot canyon in southern Utah known for its tight passages and dramatic sandstone walls.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.