Triple
T5452738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Be an Antiracist |
E122405
|
entity |
| Predicate | settingOfDiscussion |
P1957
|
FINISHED |
| Object | United States history |
—
|
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: United States history | Statement: [How to Be an Antiracist, settingOfDiscussion, United States history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfDiscussion Context triple: [How to Be an Antiracist, settingOfDiscussion, United States history]
-
A.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
C.
debateOrganizer
Indicates that one entity is responsible for organizing, coordinating, or managing a debate involving another entity or entities.
-
D.
hasDiscussionSystem
Indicates that an entity is equipped with or supports a system for facilitating discussions or conversations.
-
E.
settingOfConflict
Indicates the location or context in which a conflict between entities takes place.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.