Triple
T18855365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Skaar Invasion |
E461157
|
entity |
| Predicate | hasFictionalRace |
P15758
|
FINISHED |
| Object | Skaar |
—
|
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: Skaar | Statement: [The Skaar Invasion, hasFictionalRace, Skaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skaar Context triple: [The Skaar Invasion, hasFictionalRace, Skaar]
-
A.
Skaar
chosen
Skaar is a Marvel Comics character, the powerful, battle-hardened son of the Hulk who inherits both his father’s gamma strength and his mother’s Oldstrong abilities.
-
B.
Baiju
Baiju is an Indian-American entrepreneur best known as the co-founder of the stock trading platform Robinhood.
-
C.
Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
D.
Groot
Groot is a sentient, tree-like alien superhero from Marvel Comics and the Marvel Cinematic Universe, known for his limited vocabulary and close partnership with Rocket Raccoon.
-
E.
Kraang
Kraang are a race of malevolent alien brain-like creatures who serve as major villains in the 2012 Teenage Mutant Ninja Turtles animated series, known for their advanced technology and plans to conquer Earth.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05c16e88190a08b6a8b94e1c9f9 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.