Triple
T13348828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edge |
E318020
|
entity |
| Predicate | finishingMove |
P80697
|
FINISHED |
| Object | Edgecution |
E318020
|
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: Edgecution | Statement: [Edge, finishingMove, Edgecution]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgecution Context triple: [Edge, finishingMove, Edgecution]
-
A.
Edge
chosen
Edge is a Canadian professional wrestler and WWE Hall of Famer renowned for his multiple world championships, charismatic persona, and pioneering work in ladder and TLC matches.
-
B.
Edge
Edge is a theatrical work by Canadian playwright and performer Ann-Marie MacDonald that dramatizes the life and struggles of poet Sylvia Plath.
-
C.
Edge
Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
-
D.
Edge
Edge is a glass-floored outdoor observation deck at 30 Hudson Yards in New York City, offering panoramic views of the Manhattan skyline.
-
E.
State of the Edge
State of the Edge is an industry research initiative and report series focused on analyzing and defining trends, architectures, and market developments in edge computing.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f45c9788190b60095c0d6e2f763 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.