Triple
T22424047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aapep |
E554321
|
entity |
| Predicate | defeatedBy |
P11263
|
FINISHED |
| Object | Set |
—
|
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: Set | Statement: [Aapep, defeatedBy, Set]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Set Context triple: [Aapep, defeatedBy, 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.
SET
SET is an open-source penetration testing framework focused on social engineering attacks, commonly used by security professionals to simulate and assess human-targeted vulnerabilities.
-
D.
SET
SET is the Stock Exchange of Thailand, the primary securities exchange for trading stocks and other financial instruments in Thailand.
-
E.
SET
SET is the National Rail station code for Settle railway station in North Yorkshire, England.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2af620819083338127e78137dc |
completed | April 29, 2026, 1:08 a.m. |
Created at: April 16, 2026, 8:47 p.m.