Triple
T6925038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Barbato |
E160283
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Nancy Sinatra |
E129301
|
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: Nancy Sinatra | Statement: [Nancy Barbato, hasChild, Nancy Sinatra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Sinatra Context triple: [Nancy Barbato, hasChild, Nancy Sinatra]
-
A.
Nancy Sinatra
chosen
Nancy Sinatra is an American singer and actress best known for her 1966 hit song "These Boots Are Made for Walkin'" and her influential pop and country recordings of the 1960s and 1970s.
-
B.
Dolly Sinatra
Dolly Sinatra was the Italian-American mother of singer Frank Sinatra, known for her strong personality, political activism, and influence on her son's early life.
-
C.
Janet Tamaro
Janet Tamaro is an American television writer and producer best known for developing and showrunning the crime drama series "Rizzoli & Isles."
-
D.
Eydie Gormé
Eydie Gormé was an American pop and Latin-influenced singer best known for her solo hits and her longtime musical partnership with her husband, Steve Lawrence.
-
E.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da18b6388190947dfc1eb9e5d382 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75859735081909382f1542271a1e4 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:26 p.m.