Triple
T13105122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabella Sciorra |
E310824
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Annabella |
E43014
|
NE FINISHED |
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: Annabella | Statement: [Annabella Sciorra, givenName, Annabella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annabella Context triple: [Annabella Sciorra, givenName, Annabella]
-
A.
Annabella
chosen
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
-
B.
Nadja
Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
-
C.
Christabella
Christabella is the fanatical cult leader and primary antagonist in the 2006 horror film "Silent Hill," portrayed by Alice Krige.
-
D.
Jessabelle
Jessabelle is a 2014 American supernatural horror film about a young woman who returns to her childhood home in Louisiana and encounters a terrifying presence tied to her family's dark past.
-
E.
Annabella Azín
Annabella Azín is an Ecuadorian physician and politician known for her public health work and role in national politics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e277b89c8190a0d895eb46836525 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.