Triple
T30641129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deanna Monroe |
E779980
|
entity |
| Predicate | preApocalypseOccupation |
P169646
|
FINISHED |
| Object | Ohio congresswoman |
—
|
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: Ohio congresswoman | Statement: [Deanna Monroe, preApocalypseOccupation, Ohio congresswoman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preApocalypseOccupation Context triple: [Deanna Monroe, preApocalypseOccupation, Ohio congresswoman]
-
A.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
-
B.
crisisPower
Indicates a relationship where an entity gains or exerts heightened influence, authority, or effectiveness specifically in situations of crisis or emergency.
-
C.
postWarOccupation
Indicates that one entity occupied, administered, or controlled another entity or territory in the period following a war.
-
D.
notableTraitInApocalypse
Indicates a characteristic or quality that stands out as especially significant or defining in an apocalyptic scenario.
-
E.
preCivilWarOccupation
Indicates the occupation or role a person held before the outbreak of the Civil War.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a557e308190a55aa6958b6d012e |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:29 p.m.