Triple
T2207247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opera |
E50828
|
entity |
| Predicate | usesEngine |
P2092
|
FINISHED |
| Object | Blink |
E13758
|
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: Blink | Statement: [Opera, usesEngine, Blink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blink Context triple: [Opera, usesEngine, Blink]
-
A.
Blink
chosen
Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
-
B.
Red Eye
Red Eye is a 2005 psychological thriller film in which Cillian Murphy plays a charming but menacing terrorist who coerces a hotel manager during a tense overnight flight.
-
C.
"Don't blink"
"Don't blink" is the iconic warning associated with the Weeping Angels in Doctor Who, urging characters to avoid blinking to escape these predatory creatures.
-
D.
Limelight
Limelight is a 1952 drama film written, directed by, and starring Charlie Chaplin, in which he portrays a faded music-hall comedian who befriends and mentors a young ballerina.
-
E.
Bolt
Bolt is a global ride-hailing and mobility platform offering services like car rides, scooters, and food delivery, competing with companies such as Uber.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654b89b081908f8c8b9bfc0b6579 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.