Triple
T4029225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untempered Schism |
E83665
|
entity |
| Predicate | ageOfInitiates |
P14567
|
FINISHED |
| Object | 8 years old |
—
|
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: 8 years old | Statement: [Untempered Schism, ageOfInitiates, 8 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfInitiates Context triple: [Untempered Schism, ageOfInitiates, 8 years old]
-
A.
initiationLevels
Indicates the degree or stage at which an action, process, or relationship is begun or set in motion between entities.
-
B.
ageAtStartOfRole
Indicates the age an entity was when they first began a specified role or position.
-
C.
admittedCadetsAged
Indicates that an institution has admitted cadets who are of a specified age or within a specified age range.
-
D.
typicalEligibilityAge
chosen
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
E.
ageAtEnlistment
Indicates the age a person was when they enlisted in a service, organization, or role.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.