Triple
T25054904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmelite Order |
E627489
|
entity |
| Predicate | hasNotableReformer |
P48432
|
FINISHED |
| Object | Teresa of Ávila |
—
|
NE NERFINISHED |
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: Teresa of Ávila | Statement: [Carmelite Order, hasNotableReformer, Teresa of Ávila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableReformer Context triple: [Carmelite Order, hasNotableReformer, Teresa of Ávila]
-
A.
notableReformerOpposition
Indicates that a notable reformer actively opposed, resisted, or campaigned against the referenced person, group, policy, or institution.
-
B.
notableReform
Indicates that an entity is recognized for having initiated, led, or been central to a significant reform or transformative change in a system, policy, or institution.
-
C.
hasNotablePolis
Indicates that an entity is associated with or contains a city-state (polis) that is considered notable or significant.
-
D.
reformerOf
chosen
Indicates that one entity is the person or agent who initiated or carried out significant reforms or changes to another entity.
-
E.
hasNotableMember
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 18, 2026, 6:09 a.m.