Triple
T19179564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xeelee Sequence |
E469534
|
entity |
| Predicate | includesWork |
P2011
|
FINISHED |
| Object | Ring |
—
|
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: Ring | Statement: [Xeelee Sequence, includesWork, Ring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ring Context triple: [Xeelee Sequence, includesWork, Ring]
-
A.
Ring
Ring is a smart home security and video doorbell company known for its connected cameras and home monitoring services.
-
B.
Ring
chosen
"Ring" is a hard science fiction novel by Stephen Baxter that explores cosmic-scale themes of space, time, and the far future of the universe.
-
C.
Ring
Ring is a coastal Gaeltacht village in County Waterford, Ireland, known for its strong Irish-language community and cultural traditions.
-
D.
Ring
Ring is a Clojure web applications library and standard interface that underpins much of the Clojure web ecosystem by defining a simple, functional abstraction for HTTP requests and responses.
-
E.
Ringsaker
Ringsaker is a municipality in Innlandet county, Norway, known for its agricultural landscapes along Lake Mjøsa and its proximity to the town of Hamar.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61ae4108190b3715261cac2dd86 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.