Triple
T13351940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anduin Lothar |
E318089
|
entity |
| Predicate | speciesInLore |
P965
|
FINISHED |
| Object | Human (Azerothian) |
—
|
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: Human (Azerothian) | Statement: [Anduin Lothar, speciesInLore, Human (Azerothian)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesInLore Context triple: [Anduin Lothar, speciesInLore, Human (Azerothian)]
-
A.
speciesInspiredBy
Indicates that one species concept, design, or depiction is modeled after, influenced by, or creatively derived from another species.
-
B.
enemySpecies
Indicates that two species are in an antagonistic or hostile relationship, typically viewing each other as enemies.
-
C.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
-
D.
notableSpecies
chosen
Indicates that the subject is known for, or significantly associated with, the specified species.
-
E.
encountersSpecies
Indicates that one entity comes into contact with or meets a particular species.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6fd8bc819086dddb6f376efa57 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:32 p.m.