Triple
T28659305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepwalkers |
E725419
|
entity |
| Predicate | containsCameo |
P49662
|
FINISHED |
| Object | Stephen King |
—
|
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: Stephen King | Statement: [Sleepwalkers, containsCameo, Stephen King]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCameo Context triple: [Sleepwalkers, containsCameo, Stephen King]
-
A.
impliedByCameo
Indicates that one fact, statement, or conclusion is inferred or supported by the appearance or brief involvement (a "cameo") of an entity in a context.
-
B.
emblemContains
Indicates that one emblem includes, incorporates, or features another emblem or graphical element within its design.
-
C.
featuresCameoBy
chosen
Indicates that a work includes a brief, often special-appearance role performed by the specified person or entity.
-
D.
containsEmblem
Indicates that one entity includes or displays the emblem of another entity as part of its design or composition.
-
E.
containsCoverOf
Indicates that one entity includes within it a cover or covering representation 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 28, 2026, 4:57 a.m.