Triple
T3377567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrex Chapter |
E71101
|
entity |
| Predicate | typicalMemberTraits |
P37384
|
FINISHED |
| Object | highly analytical |
—
|
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: highly analytical | Statement: [Patrex Chapter, typicalMemberTraits, highly analytical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemberTraits Context triple: [Patrex Chapter, typicalMemberTraits, highly analytical]
-
A.
typicalMembers
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
B.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
C.
membershipCharacteristic
Indicates that an entity possesses a specific attribute or quality by virtue of its membership in a particular group or category.
-
D.
associatedCharacterTrait
chosen
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
E.
styleOfMembers
Indicates that one entity specifies or characterizes the stylistic attributes or manner of presentation associated with the members 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.