Triple
T5214469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drake Doremus |
E117714
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Equals |
E503717
|
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: Equals | Statement: [Drake Doremus, directed, Equals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Equals Context triple: [Drake Doremus, directed, Equals]
-
A.
Equals
chosen
Equals is a 2015 science-fiction romantic drama film set in a dystopian future where emotions are outlawed, starring Nicholas Hoult and Kristen Stewart.
-
B.
Equality State
Equality State is the official nickname of Wyoming, highlighting its early adoption of women's suffrage and commitment to equal rights.
-
C.
Equatable
Equatable is a fundamental Swift protocol that enables value comparison by requiring types to define equality operations.
-
D.
Created Equal
"Created Equal" is a notable chapter from Milton and Rose Friedman's influential economics book "Free to Choose," which explores issues of equality, freedom, and public policy.
-
E.
Equivalents
Equivalents is Alfred Stieglitz’s influential series of abstract cloud photographs, considered among the first intentionally non-representational works in the history of photography.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a928dfc8190971a9e28d5c10446 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8029cbc8190b0eb4357ff1067d2 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:47 p.m.