Triple
T656369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Thirlby |
E11657
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Darkest Hour |
E82092
|
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: The Darkest Hour | Statement: [Olivia Thirlby, appearedIn, The Darkest Hour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Darkest Hour Context triple: [Olivia Thirlby, appearedIn, The Darkest Hour]
-
A.
The Darkest Hour
chosen
The Darkest Hour is a 2011 science fiction thriller film about a group of young people in Moscow fighting to survive an invisible alien invasion that drains electrical energy.
-
B.
Dunkirk
Dunkirk is a coastal town in northern France best known as the site of the World War II evacuation of Allied troops in 1940.
-
C.
Dunkirk
Dunkirk is a 2017 war film directed by Christopher Nolan that depicts the World War II evacuation of Allied soldiers from the beaches of Dunkirk, France.
-
D.
Defence of the Realm
Defence of the Realm is the official motto expressing the core mission of the British Armed Forces to protect the United Kingdom and its interests.
-
E.
Downfall
Downfall is the codename for the planned but never executed Allied invasion of the Japanese home islands near the end of World War II.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4e87408190b5276d2b913d0426 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3925a14819093336c4217c7e893 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.