Triple
T15905176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary-Kate Olsen |
E385693
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Elizabeth Olsen |
E213244
|
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: Elizabeth Olsen | Statement: [Mary-Kate Olsen, sibling, Elizabeth Olsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Olsen Context triple: [Mary-Kate Olsen, sibling, Elizabeth Olsen]
-
A.
Elizabeth Olsen
chosen
Elizabeth Olsen is an American actress best known for portraying Wanda Maximoff / Scarlet Witch in the Marvel Cinematic Universe.
-
B.
Hayley Atwell
Hayley Atwell is a British-American actress best known for portraying Peggy Carter in the Marvel Cinematic Universe.
-
C.
Carrie Snodgress
Carrie Snodgress was an American actress best known for her Oscar-nominated role in "Diary of a Mad Housewife" and her work in film and television during the 1970s and 1980s.
-
D.
Tessa Thompson
Tessa Thompson is an American actress known for her versatile performances in film and television, including prominent roles in projects like "Creed," "Thor: Ragnarok," and "Westworld."
-
E.
Brie Larson
Brie Larson is an Academy Award–winning American actress known for her versatile performances in films such as Room, Captain Marvel, and Kong: Skull Island.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565956588190ba4726a2879b677d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0535a808190983b4ff028826cbf |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.