Triple
T21149831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir George |
E521158
|
entity |
| Predicate | enemyOccupation |
P143069
|
FINISHED |
| Object | evil sorcerer |
—
|
LITERAL 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: evil sorcerer | Statement: [Sir George, enemyOccupation, evil sorcerer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enemyOccupation Context triple: [Sir George, enemyOccupation, evil sorcerer]
-
A.
occupyingForces
Indicates that one group’s military forces are present in and exercising control over a territory that is not their own, typically without the full consent of the local sovereign authority.
-
B.
occupyingPower
Indicates that one entity holds military or political control over a territory that it does not legally own, typically as an occupying authority.
-
C.
enemyNation
Indicates that one nation is considered a hostile or adversarial state in relation to another nation.
-
D.
countryOccupied
Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
-
E.
wasInvadedBy
Indicates that a place or territory was subjected to an incursion or attack carried out by another entity or group.
- F. None of above. chosen
Provenance (4 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72400911c8190978e88138a9bfaff |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:58 p.m.