Triple
T28904633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | government of Oceania |
E733038
|
entity |
| Predicate | usesEnemyFigure |
P166898
|
FINISHED |
| Object | Emmanuel Goldstein |
—
|
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: Emmanuel Goldstein | Statement: [government of Oceania, usesEnemyFigure, Emmanuel Goldstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEnemyFigure Context triple: [government of Oceania, usesEnemyFigure, Emmanuel Goldstein]
-
A.
enemyCharacterIn
Indicates that a character is located within or present inside an enemy-controlled area, zone, or context.
-
B.
enemyCharacter
Indicates that one character is hostile or opposed to another, typically treating them as an adversary or foe.
-
C.
declaresEnemy
Indicates that one entity formally identifies or announces another entity as its enemy.
-
D.
enemyType
Indicates that one entity is classified as an enemy of a specified type or category in relation to another entity.
-
E.
enemyPower
Indicates that one entity possesses or exerts hostile or opposing power relative to another entity.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 8:06 a.m.