Triple
T10194018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magneto |
E238113
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Erik Lehnsherr |
E238113
|
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: Erik Lehnsherr | Statement: [Magneto, alias, Erik Lehnsherr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Lehnsherr Context triple: [Magneto, alias, Erik Lehnsherr]
-
A.
Charles Xavier
Charles Xavier, also known as Professor X, is a powerful telepathic mutant and the founder and leader of the X-Men in the Marvel Comics universe.
-
B.
Magneto
chosen
Magneto is a powerful Marvel Comics supervillain and occasional antihero, known as a mutant with magnetic abilities and a complex ideological rivalry with the X-Men.
-
C.
William Stryker
William Stryker is a recurring X-Men villain, typically portrayed as a fanatical military or religious figure obsessed with controlling or eradicating mutants, particularly Wolverine.
-
D.
Scott Summers
Scott Summers is a longtime leader of the X-Men, a mutant superhero who projects powerful optic blasts and is best known by his codename Cyclops.
-
E.
Dr. Cyclops
Dr. Cyclops is a 1940 science fiction horror film best known for its pioneering use of Technicolor and its story of a mad scientist who shrinks his victims in the Peruvian jungle.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc7cc748190bceb8f657afcc054 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317d3c1bc8190811b809aaf93a754 |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:13 p.m.