Triple
T22840860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanderlust |
E566073
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Emma D'Arcy |
—
|
NE NERFINISHED |
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: Emma D'Arcy | Statement: [Wanderlust, starring, Emma D'Arcy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma D'Arcy Context triple: [Wanderlust, starring, Emma D'Arcy]
-
A.
Emma D'Arcy
chosen
Emma D'Arcy is a British actor best known for their leading role as Rhaenyra Targaryen in the HBO series "House of the Dragon."
-
B.
Naomi Sheridan
Naomi Sheridan is an Irish screenwriter best known for co-writing the acclaimed film "In America" with her father Jim Sheridan and sister Kirsten Sheridan.
-
C.
Claire Fox
Claire Fox is a British politician, writer, and former Brexit Party MEP known for her libertarian views and commentary on free speech and civil liberties.
-
D.
Gillian Murphy
Gillian Murphy is a renowned American ballet dancer and longtime principal with American Ballet Theatre, celebrated for her powerful technique and dramatic artistry.
-
E.
Rosamund Pike
Rosamund Pike is an English actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Gone Girl" and "Pride & Prejudice."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.