Triple
T20248724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie (Broadway revival) |
E498493
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | 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: Annie | Statement: [Annie (Broadway revival), basedOn, Annie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annie Context triple: [Annie (Broadway revival), basedOn, Annie]
-
A.
Annie
chosen
Annie is a popular Broadway musical, later adapted into a film, about an optimistic orphan girl in 1930s New York.
-
B.
Annie
"Annie" is a song featured on James Blunt's album *All the Lost Souls*.
-
C.
Annie
Annie is the central protagonist of Nick Hornby’s novel and its film adaptation "Juliet, Naked," whose life becomes entangled with a reclusive musician and her longtime partner’s obsession with his work.
-
D.
Annie
Annie is the central protagonist of the Indian cult-classic film "In Which Annie Gives It Those Ones," portrayed as an eccentric and rebellious architecture student navigating the challenges of college life and systemic bureaucracy.
-
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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.