Triple
T36961727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gnaar |
E914323
|
entity |
| Predicate | isIconicEnemyOf |
P4675
|
FINISHED |
| Object | Serious Sam series |
—
|
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: Serious Sam series | Statement: [Gnaar, isIconicEnemyOf, Serious Sam series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIconicEnemyOf Context triple: [Gnaar, isIconicEnemyOf, Serious Sam series]
-
A.
wasEnemyOf
Indicates that one entity regarded or interacted with another as an adversary or opponent, typically in a hostile or conflicting relationship.
-
B.
laterEnemyOf
Indicates that one entity becomes an enemy of another at a later time, after not initially being in an antagonistic relationship.
-
C.
enemyCharacterIn
Indicates that a character is located within or present inside an enemy-controlled area, zone, or context.
-
D.
recurringEnemyOf
Indicates that one entity repeatedly serves as an adversary or opponent to another over multiple encounters or events.
-
E.
primaryEnemy
chosen
Indicates that one entity is the main or most significant adversary or opponent of another entity.
- F. None of above.
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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.