Triple
T5919626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTTPS Everywhere |
E131668
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Opera |
E72095
|
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: Opera | Statement: [HTTPS Everywhere, platform, Opera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opera Context triple: [HTTPS Everywhere, platform, Opera]
-
A.
Opera
chosen
Opera is a web browser known for its built-in features like a free VPN, ad blocker, and integrated messaging tools.
-
B.
OPERA
OPERA was a long-baseline neutrino oscillation experiment at the Gran Sasso National Laboratory in Italy, designed to detect tau neutrinos in a beam sent from CERN.
-
C.
The World of Opera
The World of Opera is a fantasy setting centered on grand operatic themes, performances, and drama within the broader Secondary Worlds universe.
-
D.
World Music Theatre
World Music Theatre is a large outdoor concert amphitheater in Tinley Park, Illinois, known for hosting major touring music acts and festivals.
-
E.
Music for the Theatre
Music for the Theatre is a 1925 jazz-influenced orchestral suite by Aaron Copland that blends modernist harmonies with theatrical, American vernacular styles.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038003c408190b2a89df0b759dcbf |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c03a95688190bfd51d7ada1e538f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.