Triple
T3764635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Will Survive in America |
E82639
|
entity |
| Predicate | featuresSampleOf |
P2003
|
FINISHED |
| Object | Comment #1 |
—
|
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: Comment #1 | Statement: [Who Will Survive in America, featuresSampleOf, Comment #1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSampleOf Context triple: [Who Will Survive in America, featuresSampleOf, Comment #1]
-
A.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
B.
featureSet
Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
-
C.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
D.
featuresMethod
Indicates that an entity includes or provides a particular method as part of its functionality or behavior.
-
E.
featuresText
chosen
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfd4be481908242c460a3f00c56 |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.