Triple
T15535032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petey Piranha |
E370318
|
entity |
| Predicate | species |
P87
|
FINISHED |
| Object | Piranha Plant |
E311693
|
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: Piranha Plant | Statement: [Petey Piranha, species, Piranha Plant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piranha Plant Context triple: [Petey Piranha, species, Piranha Plant]
-
A.
Piranha Plant
chosen
Piranha Plant is a recurring carnivorous plant enemy in the Super Mario series, typically emerging from pipes to bite at passing characters.
-
B.
Bita Plant
Bita Plant is the protagonist of Claude McKay’s novel "Banana Bottom," a Jamaican woman whose return from an English education forces her to navigate the tensions between colonial influence and her rural Caribbean roots.
-
C.
Drymaea
Drymaea was an ancient Greek city-state located in the region of Phocis, known from classical historical and geographical accounts.
-
D.
Jumping Piranha Plant
Jumping Piranha Plant is an enemy variant in the Super Mario series that springs vertically from pipes or surfaces to attack the player.
-
E.
Devil's Tear
Devil's Tear is a dramatic coastal viewpoint on Nusa Lembongan in Bali, famous for its powerful crashing waves, sea spray, and sunset views over rugged cliffs.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c39ffbc819089cea285e8145fa4 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:06 a.m.