Triple
T22412892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova Persei 1901 |
E554035
|
entity |
| Predicate | lightEchoDiscoveryYear |
P3631
|
FINISHED |
| Object | 1901 |
—
|
LITERAL 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: 1901 | Statement: [Nova Persei 1901, lightEchoDiscoveryYear, 1901]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightEchoDiscoveryYear Context triple: [Nova Persei 1901, lightEchoDiscoveryYear, 1901]
-
A.
discoveryYear
chosen
Indicates the calendar year in which something was first discovered or identified.
-
B.
discoveryYear_approx
Indicates that the year associated with a discovery is known only approximately rather than as an exact calendar year.
-
C.
lightEchoesObserved
Indicates that light from an earlier event has been observed after reflecting or scattering off intervening material, producing a detectable light echo.
-
D.
lightDeactivatedYear
Indicates the year in which a light (or lighting system) was turned off, decommissioned, or otherwise taken out of active use.
-
E.
landingYear
Indicates the year in which a landing event (such as an arrival or touchdown) took place.
- F. None of above.
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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594496348190ba25dc0193d092f2 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.