Triple
T24209770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitty Collins |
E600499
|
entity |
| Predicate | ensnares |
P63987
|
FINISHED |
| Object | protagonist of The Killers (1946 film) |
—
|
LITERAL 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: protagonist of The Killers (1946 film) | Statement: [Kitty Collins, ensnares, protagonist of The Killers (1946 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ensnares Context triple: [Kitty Collins, ensnares, protagonist of The Killers (1946 film)]
-
A.
trap
chosen
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
B.
catches
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
-
C.
ties
Indicates that one entity fastens, secures, or binds another entity (or two entities together), typically using a flexible connector such as a string, rope, or similar medium.
-
D.
اعتنق
Indicates adopting or embracing a belief, religion, or doctrine as one’s own.
-
E.
ånMeans
Indicates that one entity serves as the meaning, definition, or semantic equivalent of another entity.
- F. None of above.
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_69e2953344c48190875730c7d52112a0 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f282020a5881909df47f766c3ee7af |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:53 p.m.