Triple
T35009145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionheart: Legacy of the Crusader |
E1009899
|
entity |
| Predicate | hasCharacterProgressionSystem |
P98703
|
FINISHED |
| Object | skills |
—
|
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: skills | Statement: [Lionheart: Legacy of the Crusader, hasCharacterProgressionSystem, skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterProgressionSystem Context triple: [Lionheart: Legacy of the Crusader, hasCharacterProgressionSystem, skills]
-
A.
hasProgressionSystem
chosen
Indicates that an entity includes or is associated with a structured system through which progress, advancement, or development can occur over time.
-
B.
hasCareerProgressionTo
Indicates that one role, position, or career stage naturally advances or transitions into another within a professional or occupational path.
-
C.
hasProtagonistJourneyType
Indicates that a narrative work features a main character whose overarching journey follows a specific type or pattern (e.g., hero’s journey, coming-of-age, tragedy).
-
D.
questProgression
Indicates the ordered advancement of a quest through its defined stages or milestones.
-
E.
hasCreatedCharacterFor
Indicates that one entity has created or designed a character specifically for another entity or context.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: May 3, 2026, 4:01 p.m.