Triple
T20981449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini |
E516773
|
entity |
| Predicate | latinName |
P3646
|
FINISHED |
| Object | Gemini |
—
|
NE NERFINISHED |
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: Gemini | Statement: [Gemini, latinName, Gemini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemini Context triple: [Gemini, latinName, Gemini]
-
A.
Gemini
Gemini is a U.S.-based cryptocurrency exchange and custodian known for its regulatory compliance and secure digital asset trading platform.
-
B.
Gemini
Gemini is a digital media brand owned by Oath Inc. (now part of Verizon Media), associated with its portfolio of online content and services.
-
C.
Gemini
Gemini is a 2017 studio album by American rapper Macklemore, known for its eclectic mix of hip hop, pop, and introspective tracks.
-
D.
Gemini
Gemini is a Tamil-language action film starring Vikram, known for its blend of crime drama and commercial entertainment.
-
E.
Gemini
chosen
Gemini was NASA’s second human spaceflight program in the 1960s, designed to develop critical orbital maneuvers, long-duration flights, and spacewalk techniques that enabled the later Apollo Moon landings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbdea4988190bd091a5434acc376 |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:48 p.m.