Triple
T17363699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infant Island |
E422133
|
entity |
| Predicate | hasResident |
P6481
|
FINISHED |
| Object | Mothra larvae |
—
|
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: Mothra larvae | Statement: [Infant Island, hasResident, Mothra larvae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mothra larvae Context triple: [Infant Island, hasResident, Mothra larvae]
-
A.
Mothra
chosen
Mothra is a giant, benevolent moth-like monster from the Godzilla franchise, known for her guardian role, mystical powers, and recurring appearances as one of the series’ most iconic kaiju.
-
B.
MUTO
MUTO is a giant parasitic kaiju species in the 2014 film "Godzilla," known for feeding on nuclear material and serving as one of Godzilla’s primary adversaries.
-
C.
Mushi
Mushi is a biblical figure mentioned in the Hebrew Bible as a descendant of Levi and an ancestor of one of the Levitical families.
-
D.
Hedorah
Hedorah is a smog-like kaiju from the Godzilla franchise, known for feeding on pollution and embodying environmental destruction.
-
E.
Garuga
Garuga is a small genus of tropical trees in the frankincense and myrrh family Burseraceae, known for its resinous bark and occurrence in Asian and Pacific regions.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.