Triple
T5214890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skynet |
E117725
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Genisys |
E388286
|
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: Genisys | Statement: [Skynet, hasAlias, Genisys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genisys Context triple: [Skynet, hasAlias, Genisys]
-
A.
Genisys
chosen
Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
-
B.
Talos
Talos is a giant bronze automaton from Greek mythology who guarded the island of Crete by circling its shores and hurling stones at approaching intruders.
-
C.
Dyna
Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
-
D.
Kraftt
Kraftt is an alternative or variant form of the name "Kraft," likely referring to the same or a closely related entity, such as the well-known food brand or surname.
-
E.
Aegis
Aegis is a distributed, capability-based operating system developed at MIT in the 1980s, known for its fine-grained security model and use in the Apollo/Domain workstation environment.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a928dfc8190971a9e28d5c10446 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefe325988190b35e3502f147c9c2 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.