Triple
T23140774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angry Candy |
E577451
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object | Quicktime |
—
|
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: Quicktime | Statement: [Angry Candy, containsWork, Quicktime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quicktime Context triple: [Angry Candy, containsWork, Quicktime]
-
A.
QuickTime
chosen
QuickTime is Apple’s multimedia framework and file format standard used for handling and playing digital video, audio, and interactive content across platforms.
-
B.
The Finder
The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
-
C.
The Finder
The Finder is a short-lived American procedural drama series about an eccentric but gifted locator of missing people and objects, created as a spin-off from the TV show Bones.
-
D.
The Finder
The Finder is a story set in Ursula K. Le Guin’s Earthsea universe, included in the collection "Tales from Earthsea," that explores the early history of magic and the foundations of the Archipelagan school system.
-
E.
Quartz Extreme
Quartz Extreme is a graphics acceleration technology in macOS that offloads window compositing and interface rendering to the computer’s GPU for smoother visual performance.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ec922b481908084eee6a95aef83 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4 p.m.