Triple
T804962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Science LLC |
E17409
|
entity |
| Predicate | supportsPlatform |
P203
|
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: [Honey Science LLC, supportsPlatform, Opera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opera Context triple: [Honey Science LLC, supportsPlatform, 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 Posthuma
Opera Posthuma is the posthumously published collection of Baruch Spinoza’s major philosophical writings, including his seminal work Ethics.
-
C.
The Great Gatsby (opera)
The Great Gatsby (opera) is John Harbison’s operatic adaptation of F. Scott Fitzgerald’s classic novel, blending jazz-inflected music with 1920s American themes of wealth, love, and disillusionment.
-
D.
Opus 100
Opus 100 is a commemorative collection by Isaac Asimov that showcases excerpts and essays from his first hundred published books, reflecting the breadth of his work in science fiction and popular science.
-
E.
Opus 200
Opus 200 is a non-fiction collection by Isaac Asimov that surveys and reflects on his extensive body of work up to his 200th published book.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a68926c04081908923a7d114d1842d |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.