Triple
T29250893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuben Scott |
E741563
|
entity |
| Predicate | depictsExperienceOf |
P2854
|
FINISHED |
| Object | African Americans |
—
|
NE NERFINISHED |
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: African Americans | Statement: [Reuben Scott, depictsExperienceOf, African Americans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsExperienceOf Context triple: [Reuben Scott, depictsExperienceOf, African Americans]
-
A.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
B.
laterExperiences
Indicates that one event, state, or experience occurs after another in time, reflecting subsequent or later experiences relative to an earlier reference point.
-
C.
recommendedExperience
Indicates that a certain level or type of prior experience is advised or preferred for engaging in the related activity, role, or item.
-
D.
experiences
chosen
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
E.
primaryExperience
Indicates that one entity is the main or most significant experience associated with another entity, as opposed to secondary or supporting experiences.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 12:34 p.m.