Triple
T13595125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pym Particles |
E324797
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Erik Josten |
E1103770
|
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 Josten | Statement: [Pym Particles, usedBy, Erik Josten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Josten Context triple: [Pym Particles, usedBy, Erik Josten]
-
A.
Erik Josten
chosen
Erik Josten is a Marvel Comics supervillain-turned-antihero known for his immense strength and size-changing powers under various aliases, including Power Man, Goliath, and Atlas.
-
B.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
-
C.
Erik Messerschmidt
Erik Messerschmidt is an American cinematographer known for his acclaimed, Oscar-winning work on films such as "Mank" and his frequent collaborations with director David Fincher.
-
D.
John Reister
John Reister was an early settler and landowner after whom the community of Reisterstown, Maryland, was named.
-
E.
Paul Groesse
Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e47f1c8190a4ad09bc96d35b69 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.