Triple
T13109933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subcon |
E310942
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Wart |
E310940
|
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: Wart | Statement: [Subcon, antagonist, Wart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wart Context triple: [Subcon, antagonist, Wart]
-
A.
Wart
chosen
Wart is the main villain and final boss of Super Mario Bros. 2, a frog-like king who uses magic and vegetables as weapons against the player.
-
B.
El Milia
El Milia is a town and commune in northeastern Algeria known as one of the main urban centers of Jijel Province.
-
C.
Dermide
Dermide was the short-lived son of French general Charles Leclerc and Pauline Bonaparte, making him a nephew of Napoleon Bonaparte.
-
D.
Soldier’s Lump
Soldier’s Lump is the rounded summit of Black Hill in the Black Mountains on the England–Wales border, known as a trig point and landmark for walkers on the high moorland ridge.
-
E.
carbuncle
A carbuncle is a deep, painful cluster of interconnected boils caused by a bacterial infection of hair follicles, typically resulting in a swollen, pus-filled lump under the skin.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d205408190883b67739d5efaa7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:05 p.m.