Triple
T37104960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GC 4244 |
E918815
|
entity |
| Predicate | hasBlueStragglerStars |
P187153
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [GC 4244, hasBlueStragglerStars, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBlueStragglerStars Context triple: [GC 4244, hasBlueStragglerStars, yes]
-
A.
containsBlueSupergiant
Indicates that the subject includes or encompasses at least one blue supergiant star within its extent or composition.
-
B.
hasEmbeddedStarCluster
Indicates that one astronomical object contains or includes a star cluster within its structure or boundaries.
-
C.
isBlueSupergiant
Indicates that the subject is a star classified as a blue supergiant, characterized by very high mass, temperature, and luminosity.
-
D.
isBlueGiantStar
Indicates that the subject is a star classified as a blue giant, characterized by high temperature, large size, and high luminosity.
-
E.
hasNumberOfRedSupergiants
Indicates the quantity of red supergiant stars associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:14 p.m.