Triple
T20106622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PaLM 2 |
E490194
|
entity |
| Predicate | followedBy |
P78
|
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: [PaLM 2, followedBy, Gemini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemini Context triple: [PaLM 2, followedBy, Gemini]
-
A.
Gemini
Gemini is a Tamil-language action film starring Vikram, known for its blend of crime drama and commercial entertainment.
-
B.
Gemini
Gemini is a U.S.-based cryptocurrency exchange and custodian known for its regulatory compliance and secure digital asset trading platform.
-
C.
Gemini
"Gemini" is a 2017 neo-noir mystery film starring Lola Kirke as a personal assistant entangled in a Hollywood murder investigation.
-
D.
Gemini
Gemini is a notable work by the artist Etana, recognized for its contribution to contemporary reggae music.
-
E.
Gemini
chosen
Gemini is Google's family of advanced multimodal AI models designed to understand and generate text, code, images, and more across a wide range of tasks.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.