Triple
T25357732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Biggs |
E635870
|
entity |
| Predicate | hasCrisisOf |
P160859
|
FINISHED |
| Object | faith |
—
|
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: faith | Statement: [Henry Biggs, hasCrisisOf, faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrisisOf Context triple: [Henry Biggs, hasCrisisOf, faith]
-
A.
notableCrisis
Indicates a significant crisis event that has prominently affected or defined the subject.
-
B.
crisisRelatedTo
Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
-
C.
crisisPower
Indicates a relationship where an entity gains or exerts heightened influence, authority, or effectiveness specifically in situations of crisis or emergency.
-
D.
typeOfCrisis
Indicates the specific category or nature of a crisis that an entity is experiencing or associated with.
-
E.
majorCrisis
Indicates a severe, high-impact crisis or emergency situation affecting an entity or system.
- F. None of above. chosen
Provenance (4 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 21, 2026, 1:36 p.m.