Triple
T23178017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close Edge |
E579061
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Close Edge |
—
|
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: Close Edge | Statement: [Close Edge, hasTitle, Close Edge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Close Edge Context triple: [Close Edge, hasTitle, Close Edge]
-
A.
Close Edge
chosen
"Close Edge" is a track by rapper and actor Mos Def from his genre-blending 2004 album *The New Danger*.
-
B.
Outside Edge
Outside Edge is a British television sitcom, based on a stage play, that humorously explores the personal and sporting lives of members of a suburban cricket club.
-
C.
Sharp Edge
Sharp Edge is a famous and exposed arête-style scrambling ridge on the mountain Blencathra in England’s Lake District, popular with experienced hikers and climbers.
-
D.
The Very Edge
The Very Edge is a 1963 British thriller film starring Anne Heywood as a woman terrorized by a psychopathic killer.
-
E.
Edge
Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6cbe5481909444479b7eac47f7 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.