Triple
T467166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osiris |
E8472
|
entity |
| Predicate | killedBy |
P4646
|
FINISHED |
| Object | Set |
E56545
|
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: Set | Statement: [Osiris, killedBy, Set]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Set Context triple: [Osiris, killedBy, Set]
-
A.
Set
chosen
Set is an ancient Egyptian god associated primarily with chaos, storms, and disorder, often depicted as the adversary of his brother Osiris and the rival of Horus.
-
B.
SETS
SETS is the London Stock Exchange’s central electronic order book system used for automated trading of the most liquid UK securities.
-
C.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
D.
SETL
SETL is a high-level programming language developed in the late 1960s that is notable for its powerful set-theoretic abstractions and influence on later language design.
-
E.
Mutable Set
Mutable Set is a 2020 studio album by American guitarist and songwriter Blake Mills, noted for its intricate production and introspective, experimental folk-rock sound.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd831088190b6ac6a56b34a8816 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a462f7c7b0819097c799a7c53b0e5f |
completed | March 1, 2026, 4:01 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.