Triple
T16136823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koopa Troop |
E391550
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Thwomp |
E311694
|
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: Thwomp | Statement: [Koopa Troop, hasMember, Thwomp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thwomp Context triple: [Koopa Troop, hasMember, Thwomp]
-
A.
Thwomp
chosen
Thwomp is a large, stone, spike-covered block-like enemy in the Super Mario series that tries to crush the player by slamming down from above.
-
B.
Bulborb
Bulborb is a large, frog-like, spotted predator from the Pikmin video game series known for devouring Pikmin in a single bite.
-
C.
Gumbat
Gumbat is a town and administrative unit located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
-
D.
Haunter
Haunter is a 2013 supernatural horror film directed by Vincenzo Natali, following a teenage girl trapped in a time-looped haunting of her own home.
-
E.
Goomba
Goomba is a common mushroom-like enemy from the Super Mario video game series, known for walking straight toward the player and being easily defeated by a jump.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a05148c8190bc2b98217fda23cc |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b39bbc8190a2cb77a3f0a329fd |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.