Triple
T4151483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Loren |
E89915
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sophia Loren |
E89915
|
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: Sophia Loren | Statement: [Sophia Loren, name, Sophia Loren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Loren Context triple: [Sophia Loren, name, Sophia Loren]
-
A.
Sophia Loren
chosen
Sophia Loren is an iconic Italian film actress and international sex symbol renowned for her Academy Award–winning performances and enduring influence on cinema.
-
B.
Claudia Cardinale
Claudia Cardinale is an acclaimed Italian-Tunisian actress renowned for her roles in classic European films of the 1960s such as "8½," "The Leopard," and "Once Upon a Time in the West."
-
C.
Gina Lollobrigida
Gina Lollobrigida was an iconic Italian film actress and international sex symbol of the 1950s and 1960s who later became a photojournalist and sculptor.
-
D.
Audrey Hepburn
Audrey Hepburn was an iconic British actress and humanitarian, celebrated for her timeless style and roles in classic films such as "Breakfast at Tiffany's."
-
E.
Ingrid Bergman
Ingrid Bergman was an acclaimed Swedish actress and three-time Academy Award winner best known for her luminous performances in classic films such as "Casablanca" and "Notorious."
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0276363081908e4d17684291b547 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6feae608190b677362d9c734165 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.