Triple
T20029310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forky Asks a Question |
E495078
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Dolly |
—
|
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: Dolly | Statement: [Forky Asks a Question, featuresCharacter, Dolly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolly Context triple: [Forky Asks a Question, featuresCharacter, Dolly]
-
A.
Dolly
Dolly is a legendary American country music singer-songwriter, actress, and philanthropist renowned for hits like "Jolene" and "9 to 5."
-
B.
Dolly
chosen
Dolly is a character connected to Bonnie Anderson in the Toy Story franchise, likely one of the toys residing in her household.
-
C.
Dolly
Dolly is a character in the James Bond film series, best known as the petite, bespectacled girlfriend of the steel-toothed henchman Jaws in "Moonraker."
-
D.
Dolly
Dolly is the nickname of Dolores Haze, the young girl at the center of Vladimir Nabokov’s novel "Lolita."
-
E.
Dolly Vinton
Dolly Vinton is best known as the longtime wife of American pop singer Bobby Vinton, associated with his career and public life.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.