Triple
T29340993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Executor |
E744035
|
entity |
| Predicate | hasLevelOrder |
P181837
|
FINISHED |
| Object | late-game level |
—
|
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: late-game level | Statement: [The Executor, hasLevelOrder, late-game level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelOrder Context triple: [The Executor, hasLevelOrder, late-game level]
-
A.
levelInOrder
chosen
Indicates that one entity occupies a specific hierarchical or sequential level within an ordered structure relative to others.
-
B.
hasNumberOfLevels
Indicates that an entity possesses a specified count of distinct levels or tiers.
-
C.
hasLevelNumber
Indicates that an entity is associated with a specific level identified by a numerical value.
-
D.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
E.
hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 28, 2026, 1:33 p.m.