Triple
T6404747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Sirius Benjamin |
E144149
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Sirius
Sirius is the brightest star in the night sky, located in the constellation Canis Major and often referred to as the Dog Star.
|
E190097
|
NE FINISHED |
How this triple was built (4 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: Sirius | Statement: [Seven Sirius Benjamin, middleName, Sirius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirius Context triple: [Seven Sirius Benjamin, middleName, Sirius]
-
A.
Sirius
Sirius is the brightest star in the night sky, a nearby binary star system in the constellation Canis Major that has featured prominently in astronomy, mythology, and literature.
-
B.
Regulus
Regulus is the brightest star in the constellation Leo, a hot blue-white multiple star system located relatively close to Earth.
-
C.
Arcturus
Arcturus is a bright, orange giant star in the constellation Boötes and one of the brightest stars visible from Earth, historically important in many cultures for navigation.
-
D.
Vega
Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
-
E.
Vega
Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sirius Triple: [Seven Sirius Benjamin, middleName, Sirius]
Generated description
Sirius is the brightest star in the night sky, located in the constellation Canis Major and often referred to as the Dog Star.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sirius Target entity description: Sirius is the brightest star in the night sky, located in the constellation Canis Major and often referred to as the Dog Star.
-
A.
Sirius
chosen
Sirius is the brightest star in the night sky, a nearby binary star system in the constellation Canis Major that has featured prominently in astronomy, mythology, and literature.
-
B.
Regulus
Regulus is the brightest star in the constellation Leo, a hot blue-white multiple star system located relatively close to Earth.
-
C.
Arcturus
Arcturus is a bright, orange giant star in the constellation Boötes and one of the brightest stars visible from Earth, historically important in many cultures for navigation.
-
D.
Vega
Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
-
E.
Vega
Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
- F. None of above.
Provenance (5 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068b0950c819091169aa1a3be0e88 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638aaed0c8190939e751af7c3fa80 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c6395e934c81909bfa10ee1b8e517f |
completed | March 27, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a0a4a108190b474555d8cb1540c |
completed | March 27, 2026, 8:04 a.m. |
Created at: March 22, 2026, 4:35 p.m.