Triple
T18738303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becky Leeman |
E458223
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Amber Atkins |
—
|
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: Amber Atkins | Statement: [Becky Leeman, enemy, Amber Atkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amber Atkins Context triple: [Becky Leeman, enemy, Amber Atkins]
-
A.
Amber Atkins
chosen
Amber Atkins is the ambitious small-town teenager and beauty pageant contestant portrayed by Kirsten Dunst in the dark comedy film "Drop Dead Gorgeous."
-
B.
Jessika Williams
Jessika Williams is an actress known for appearing in the Doctor Who episode "Forest of the Dead."
-
C.
Amber Gray
Amber Gray is an American actress and singer known for her acclaimed stage and screen performances, including prominent roles in productions like the musical "Hadestown" and various television dramas.
-
D.
Trinitee Stokes
Trinitee Stokes is an American actress and singer best known for her role as the quirky robot Judy Cooper on the Disney Channel series "K.C. Undercover."
-
E.
Justine Lupe
Justine Lupe is an American actress known for her roles in television series such as Mr. Mercedes and Succession.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.