Triple
T20561439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blip |
E504851
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | The Snap |
—
|
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: The Snap | Statement: [The Blip, follows, The Snap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Snap Context triple: [The Blip, follows, The Snap]
-
A.
The Snap
chosen
The Snap is the catastrophic event in the Marvel Cinematic Universe where Thanos uses the Infinity Gauntlet to erase half of all life in the universe.
-
B.
Snaps
Snaps is a software product developed by Canonical Ltd., best known for simplifying the packaging, distribution, and updating of applications across different Linux distributions.
-
C.
Bend and Snap
"Bend and Snap" is a lively, comedic musical number from the Broadway adaptation of *Legally Blonde*, known for its catchy choreography and humorous take on confidence and flirtation.
-
D.
Rattle & Snap
Rattle & Snap is a whiskey brand produced by Log Still Distillery, known for its Tennessee-style expressions and heritage-inspired branding.
-
E.
Schnapp
Schnapp is the surname of American actor Noah Schnapp, best known for his role as Will Byers in the television series "Stranger Things."
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79ec10481909740eb6a08ae2658 |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.