Triple
T18738271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber Atkins |
E458222
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Annette 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: Annette Atkins | Statement: [Amber Atkins, closeTo, Annette Atkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annette Atkins Context triple: [Amber Atkins, closeTo, Annette Atkins]
-
A.
Annette Atkins
chosen
Annette Atkins is a fictional teenage beauty pageant contestant and the central protagonist of the dark comedy film "Drop Dead Gorgeous."
-
B.
Annette Atkins
Annette Atkins is a character in the dark comedy film "Drop Dead Gorgeous," known as the supportive and quirky mother of beauty pageant contestant Amber Atkins.
-
C.
Anita Barker
Anita Barker is a collegiate sports administrator who serves as the athletic director for the Chico State Wildcats at California State University, Chico.
-
D.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
E.
Elizabeth Sinskey
Elizabeth Sinskey is a fictional World Health Organization director and geneticist who plays a central role in Dan Brown’s thriller novel "Inferno."
- 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.