Triple
T20878210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudia Kim |
E514075
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Equals |
—
|
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: Equals | Statement: [Claudia Kim, appearedIn, Equals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Equals Context triple: [Claudia Kim, appearedIn, 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.
The Equals
The Equals were a British pop, R&B, and rock group formed in the mid-1960s, best known for their energetic, genre-blending sound and hits like "Baby Come Back."
-
E.
Eq
Eq is a Rust standard library trait that defines equality comparison behavior for types, ensuring they support reflexive, symmetric, and transitive equality.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.