Triple
T1377969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orval Faubus |
E29267
|
entity |
| Predicate | causeOfPublicControversy |
P1783
|
FINISHED |
| Object | defiance of federal desegregation orders in 1957 |
—
|
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: defiance of federal desegregation orders in 1957 | Statement: [Orval Faubus, causeOfPublicControversy, defiance of federal desegregation orders in 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfPublicControversy Context triple: [Orval Faubus, causeOfPublicControversy, defiance of federal desegregation orders in 1957]
-
A.
controversy
chosen
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
B.
locationOfControversy
Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
-
C.
debatedAsCauseOf
Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
-
D.
causeOfReputation
Indicates that one entity is the reason or source for another entity’s reputation.
-
E.
politicalRepercussion
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3173548819082aec7c1af9c577c |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.