Triple
T8972669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Rooney |
E214304
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sally |
E679067
|
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: Sally | Statement: [Sally Rooney, givenName, Sally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Context triple: [Sally Rooney, givenName, Sally]
-
A.
Sally
"Sally" is a comedic stage play by British-American playwright Guy Bolton, known for its lighthearted plot and contribution to early 20th-century musical theatre.
-
B.
Sally
Sally is the given name of English actress and singer Sally Ann Howes, best known for her role in the film "Chitty Chitty Bang Bang."
-
C.
Sally
Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
-
D.
Sally
Sally is one of the young children who serve as primary protagonists in Dr. Seuss's classic children's book "The Cat in the Hat."
-
E.
Sally
chosen
Sally is a common feminine given name, often used in English-speaking countries as a diminutive of Sarah.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc678242908190a32a73423319ebb3 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0aba020819088bc6d7a461bbcdb |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:02 p.m.