Triple
T6457863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HR 1156 |
E142037
|
entity |
| Predicate | hasVariableStarStatus |
P69917
|
FINISHED |
| Object | not known to be variable |
—
|
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: not known to be variable | Statement: [HR 1156, hasVariableStarStatus, not known to be variable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariableStarStatus Context triple: [HR 1156, hasVariableStarStatus, not known to be variable]
-
A.
hasVariableStarDesignation
Indicates that an entity is assigned a specific variable star designation in an astronomical naming system.
-
B.
isVariableStar
Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
-
C.
isSuspectedVariableStar
chosen
Indicates that an astronomical object is believed, based on preliminary or incomplete evidence, to exhibit variability in its brightness over time but has not yet been confirmed as a variable star.
-
D.
variableStarType
Indicates the specific classification of variability that characterizes a variable star’s changing brightness.
-
E.
hasStellarSpectrum
Indicates that an astronomical object exhibits a particular stellar spectrum characterizing its emitted light across wavelengths.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d758508190b9c7358ef84f8169 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:48 p.m.