Triple
T5271544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Wilde |
E119269
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Olivia Wilde |
E119269
|
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: Olivia Wilde | Statement: [Olivia Wilde, stageName, Olivia Wilde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Wilde Context triple: [Olivia Wilde, stageName, Olivia Wilde]
-
A.
Olivia Wilde
chosen
Olivia Wilde is an American actress and filmmaker known for her roles in film and television, including the medical drama "House" and for directing the acclaimed film "Booksmart."
-
B.
Olivia Thirlby
Olivia Thirlby is an American actress known for her roles in films such as "Juno," "Dredd," and various independent and mainstream productions.
-
C.
Olivia Cooke
Olivia Cooke is an English actress known for her roles in films like "Ready Player One" and the TV series "Bates Motel" and "House of the Dragon."
-
D.
Angourie Rice
Angourie Rice is an Australian actress known for her breakout role in "The Nice Guys" and for appearing in films such as "Spider-Man: Homecoming" and "Spider-Man: Far From Home."
-
E.
Maria Riva
Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c1fa01081909d589686289b624b |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf187a1cf881908b45bc32c03d33be |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:51 p.m.