Triple
T10507198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seven |
E247817
|
entity |
| Predicate | mayIncludeArchetype |
P83408
|
FINISHED |
| Object | warrior |
—
|
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: warrior | Statement: [The Seven, mayIncludeArchetype, warrior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayIncludeArchetype Context triple: [The Seven, mayIncludeArchetype, warrior]
-
A.
hasArchetype
chosen
Indicates that one entity serves as the original model, pattern, or prototype upon which another entity is based or conceptually derived.
-
B.
mayIncludeFeature
Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
-
C.
mayIncludeUnitType
Indicates that something is allowed to contain or be associated with a particular type of unit.
-
D.
hasArchType
Indicates that one entity possesses or is characterized by a particular architectural type or style.
-
E.
mayAlsoBeProvidedAs
Indicates that something can optionally be supplied or made available in an alternative form or manner in addition to its primary provision.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b17cd88190b37e41b3ce2b4b16 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:26 p.m.