Triple
T13935289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Dies Jr. |
E335102
|
entity |
| Predicate | has characteristic |
P99469
|
FINISHED |
| Object | anti-communist stance |
—
|
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: anti-communist stance | Statement: [Martin Dies Jr., has characteristic, anti-communist stance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has characteristic Context triple: [Martin Dies Jr., has characteristic, anti-communist stance]
-
A.
subjectHasCharacteristic
chosen
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
-
B.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
C.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
-
D.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
-
E.
describesCharacteristicOf
Indicates that one entity expresses or specifies a characteristic, feature, or property of another entity.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69dbc873052c8190b33ff7f7c5a4e7ee |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:17 p.m.