Triple
T21602737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Award |
E533088
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Little Annie |
—
|
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: Little Annie | Statement: [Annie Award, namedAfter, Little Annie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Annie Context triple: [Annie Award, namedAfter, Little Annie]
-
A.
Little Annie
chosen
Little Annie is the namesake of the Annie Award, an honor recognizing excellence in the field of animation.
-
B.
Little Annie
Little Annie is a fictional character created by Edgar Allan Poe, likely appearing in one of his lesser-known poems or tales.
-
C.
Little Annie Fanny
Little Annie Fanny is a satirical, adult-themed comic strip created for Playboy magazine, known for its lavish painted artwork and humorous send-ups of contemporary American culture.
-
D.
Little Annie Rooney
Little Annie Rooney is a 1925 silent comedy-drama film starring Mary Pickford as a spirited young girl navigating life and hardship in a rough urban neighborhood.
-
E.
Annie
Annie is a fictional character who serves as the primary antagonist and "mortal enemy" of the narrator in the work *My Mortal Enemy*.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e31c80819090fdd63b5c103acb |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.