Triple
T15976142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janis Sarkisian |
E387452
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Regina George |
E385798
|
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: Regina George | Statement: [Janis Sarkisian, enemyOf, Regina George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regina George Context triple: [Janis Sarkisian, enemyOf, Regina George]
-
A.
Regina George
chosen
Regina George is the manipulative and popular queen bee of her high school clique in the teen comedy film "Mean Girls."
-
B.
Regina Mills
Regina Mills is a central character in the fantasy TV series "Once Upon a Time," known as the Evil Queen whose complex journey explores redemption, love, and power.
-
C.
Emma Wibberly
Emma Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
-
D.
Georgia Simmons
Georgia Simmons was an actress known for her role in the classic "Twilight Zone" episode "The Bewitchin’ Pool."
-
E.
Carrie Hope Fletcher
Carrie Hope Fletcher is a British actress, singer, and author best known for her work in West End musicals and her popular online presence.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575166d081909c5275c235c8ce0f |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f39008c819095ad8512eb119ee8 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 4:54 a.m.