Triple
T6174952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canis Minor |
E137794
|
entity |
| Predicate | secondBrightestStar |
P34019
|
FINISHED |
| Object | Gomeisa |
E572589
|
NE 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: Gomeisa | Statement: [Canis Minor, secondBrightestStar, Gomeisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gomeisa Context triple: [Canis Minor, secondBrightestStar, Gomeisa]
-
A.
Gomeisa
chosen
Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
-
B.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
C.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
D.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
E.
Haiman
Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc55b5c819084482b735771c9a8 |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ef0f76881909d678010d0c064e7 |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:18 p.m.