Triple
T5958651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betelgeuse |
E132578
|
entity |
| Predicate | greatDimmingCause |
P694
|
FINISHED |
| Object | combination of dust formation and surface changes |
—
|
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: combination of dust formation and surface changes | Statement: [Betelgeuse, greatDimmingCause, combination of dust formation and surface changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greatDimmingCause Context triple: [Betelgeuse, greatDimmingCause, combination of dust formation and surface changes]
-
A.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
C.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
D.
majorImpact
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
-
E.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.