Triple
T7532104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grease |
E178047
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Sandy Olsson |
E368836
|
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: Sandy Olsson | Statement: [Grease, character, Sandy Olsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Olsson Context triple: [Grease, character, Sandy Olsson]
-
A.
Sandy Olsson
chosen
Sandy Olsson is the wholesome Australian transfer student who becomes the love interest of Danny Zuko in the musical film "Grease."
-
B.
Carlene Olson
Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
-
C.
Sandy Wilhelm
Sandy Wilhelm is a songwriter best known for co-writing Rihanna’s hit single "Only Girl (In the World)."
-
D.
Lesley Selander
Lesley Selander was a prolific American film director best known for his work on mid-20th-century Westerns and action pictures.
-
E.
Sandra Jolley
Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f03485c8190829beb95a8be0236 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:47 p.m.