Triple
T1629973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers Campus |
E35233
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Thor |
E60118
|
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: Thor | Statement: [Avengers Campus, featuresCharacter, Thor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thor Context triple: [Avengers Campus, featuresCharacter, Thor]
-
A.
Thor
Thor is a Marvel superhero film based on the Norse god of thunder, following the powerful but arrogant warrior as he is exiled to Earth and learns humility while defending both his realm and humanity.
-
B.
Thor
chosen
Thor is the Norse god of thunder, storms, and strength, famed for wielding the hammer Mjölnir and appearing widely in mythology and modern popular culture.
-
C.
Thor: Ragnarok
Thor: Ragnarok is a 2017 Marvel Studios superhero film that blends action and comedy as Thor battles to prevent the apocalyptic destruction of Asgard.
-
D.
Avengers
The Avengers are a team of Marvel Comics superheroes who unite to combat powerful threats that no single hero can withstand alone.
-
E.
The Avengers
The Avengers is a 1960s British espionage television series blending stylish spy drama with quirky, often surreal humor and science fiction elements.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb3a9b634819086b44f1574e97dcb |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d5acd8819090c51678ce0f63f0 |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.