Triple
T21350309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Goldstein |
E526456
|
entity |
| Predicate | loyalty |
P1201
|
FINISHED |
| Object | MACUSA |
—
|
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: MACUSA | Statement: [Tina Goldstein, loyalty, MACUSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MACUSA Context triple: [Tina Goldstein, loyalty, MACUSA]
-
A.
MACUSA
chosen
MACUSA is the Magical Congress of the United States of America, the governing body for witches and wizards in the U.S. in the Wizarding World.
-
B.
US-DC
US-DC is the ISO 3166-2 code representing the District of Columbia, the federal district containing the capital city of the United States, Washington, D.C.
-
C.
Amerks
Amerks is the common nickname for the Rochester Americans, a professional ice hockey team in the American Hockey League.
-
D.
U.S.S.A.
U.S.S.A. is an experimental rock band featuring guitarist Duane Denison that blends elements of alternative, industrial, and avant-garde music.
-
E.
Genosha
Genosha is a fictional island nation in Marvel Comics, notorious for its history of mutant enslavement, political upheaval, and catastrophic destruction.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad31087481909d41e9d28286f04d |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:03 p.m.