Triple
T7069481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesare Danova |
E164647
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Pamela Danova
Pamela Danova is known as the spouse of Italian-American actor Cesare Danova.
|
E749796
|
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: Pamela Danova | Statement: [Cesare Danova, spouse, Pamela Danova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Danova Context triple: [Cesare Danova, spouse, Pamela Danova]
-
A.
Pamela Reeves
Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
-
B.
Pamela Miles
Pamela Miles is a British actress best known for her work on stage and screen and for her long marriage to actor Tim Pigott-Smith.
-
C.
Pamela Duncan
Pamela Duncan was an American film and television actress active in the 1950s and 1960s, known for her roles in low-budget Westerns and genre pictures.
-
D.
Pamela Reed
Pamela Reed is an American actress known for her versatile character roles in film and television, including a prominent part in the comedy "Kindergarten Cop."
-
E.
Pamela Brown
Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
- 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: Pamela Danova Triple: [Cesare Danova, spouse, Pamela Danova]
Generated description
Pamela Danova is known as the spouse of Italian-American actor Cesare Danova.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamela Danova Target entity description: Pamela Danova is known as the spouse of Italian-American actor Cesare Danova.
-
A.
Pamela Reeves
Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
-
B.
Pamela Miles
Pamela Miles is a British actress best known for her work on stage and screen and for her long marriage to actor Tim Pigott-Smith.
-
C.
Pamela Duncan
Pamela Duncan was an American film and television actress active in the 1950s and 1960s, known for her roles in low-budget Westerns and genre pictures.
-
D.
Pamela Reed
Pamela Reed is an American actress known for her versatile character roles in film and television, including a prominent part in the comedy "Kindergarten Cop."
-
E.
Pamela Brown
Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4aa82108190bacd5584c1c78999 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc01e1b88190817a73e580cf4f03 |
completed | April 2, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69ced05d98e481909607fd51883cd123 |
completed | April 2, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ced0e42edc8190af4fa07942d00e6b |
completed | April 2, 2026, 8:26 p.m. |
Created at: March 27, 2026, 2:39 p.m.