Triple
T8946980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Olsen |
E213244
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Elizabeth Chase 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 Chase Olsen | Statement: [Elizabeth Olsen, birthName, Elizabeth Chase Olsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Chase Olsen Context triple: [Elizabeth Olsen, birthName, Elizabeth Chase 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.
Chloe Bennet
Chloe Bennet is an American actress and singer best known for playing Daisy Johnson/Quake in the Marvel television series "Agents of S.H.I.E.L.D."
-
C.
Olivia Olson
Olivia Olson is an American singer and actress best known for her role as Joanna in the film "Love Actually" and for voicing Marceline the Vampire Queen in the animated series "Adventure Time."
-
D.
Anna Torv
Anna Torv is an Australian actress best known for her lead role as FBI agent Olivia Dunham in the science fiction television series "Fringe."
-
E.
Samara Weaving
Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66deb8ec819087a9c5eddd24c08a |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc93c678c81909d2ab68308d7c2f0 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:59 p.m.