Triple
T15710838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8½ |
E380831
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sandra Milo
Sandra Milo is an Italian actress best known for her collaborations with director Federico Fellini and her roles in classic 1960s Italian cinema.
|
E1172995
|
NE FINISHED |
How this triple was built (4 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: Sandra Milo | Statement: [8½, castMember, Sandra Milo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandra Milo Context triple: [8½, castMember, Sandra Milo]
-
A.
Sandra Voe
Sandra Voe is a Scottish actress known for her work in film, television, and theatre, often appearing in character-driven dramas.
-
B.
Sandra
Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
-
C.
Sandra
Sandra is a German pop singer best known for her 1980s Eurodisco hits such as "Maria Magdalena" and "In the Heat of the Night."
-
D.
Sandra
Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
E.
Sandra
Sandra is a feminine given name of Greek origin meaning "defender of mankind," commonly used in many English-speaking and European countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sandra Milo Triple: [8½, castMember, Sandra Milo]
Generated description
Sandra Milo is an Italian actress best known for her collaborations with director Federico Fellini and her roles in classic 1960s Italian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandra Milo Target entity description: Sandra Milo is an Italian actress best known for her collaborations with director Federico Fellini and her roles in classic 1960s Italian cinema.
-
A.
Sandra Voe
Sandra Voe is a Scottish actress known for her work in film, television, and theatre, often appearing in character-driven dramas.
-
B.
Sandra
Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
-
C.
Sandra
Sandra is a German pop singer best known for her 1980s Eurodisco hits such as "Maria Magdalena" and "In the Heat of the Night."
-
D.
Sandra
Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
E.
Sandra
Sandra is a feminine given name of Greek origin meaning "defender of mankind," commonly used in many English-speaking and European countries.
- F. None of above. chosen
Provenance (5 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757d74b481909c8332a09ae36b4f |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff762c0c548190a80392e1e83f68cc |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76fbcd188190b431bf277304aeea |
completed | May 9, 2026, 6:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.