Triple
T4943349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerberos |
E110988
|
entity |
| Predicate | orbitalResonanceWith |
P17319
|
FINISHED |
| Object | Nix |
E110987
|
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: Nix | Statement: [Kerberos, orbitalResonanceWith, Nix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nix Context triple: [Kerberos, orbitalResonanceWith, Nix]
-
A.
Nix
chosen
Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
-
B.
Nux
Nux is a War Boy from the film "Mad Max: Fury Road" who evolves from a fanatical follower of Immortan Joe into a self-sacrificing ally of Furiosa and Max.
-
C.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Nupoid
Nupoid is a branch of the Niger-Congo language family comprising several closely related languages spoken primarily in central Nigeria.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a7650c8190b046b65072fd8eae |
completed | March 20, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81cc862081908b42686f04915238 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:31 p.m.