Triple
T9565697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Sheridan |
E230782
|
entity |
| Predicate | invitesToWedding |
P12019
|
FINISHED |
| Object | Bill Anderson |
E50282
|
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: Bill Anderson | Statement: [Sophie Sheridan, invitesToWedding, Bill Anderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Anderson Context triple: [Sophie Sheridan, invitesToWedding, Bill Anderson]
-
A.
Bill Anderson
chosen
Bill Anderson is one of the three possible fathers and a central figure in the musical and film "Mamma Mia!", known for his adventurous, easygoing personality and past romance with Donna.
-
B.
Bill Anderson
Bill Anderson is an American country music singer-songwriter known for his soft vocal style and prolific, chart-topping songwriting career.
-
C.
Don Gibson
Don Gibson was an influential American country music singer-songwriter known for classics like "Oh Lonesome Me" and "I Can't Stop Loving You."
-
D.
David Frizzell
David Frizzell is an American country music singer and songwriter best known for his 1980s hits and successful duets, particularly with Shelly West.
-
E.
John Frizzell
John Frizzell is an American film and television composer known for scoring a wide range of genre films, including prominent horror and thriller titles.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152abb0788190ab2e204d9a082ccf |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:04 p.m.