Triple
T35035146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Salt |
E1010889
|
entity |
| Predicate | involvesHistoricalFigures |
P195606
|
FINISHED |
| Object | Gertrude Stein |
—
|
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: Gertrude Stein | Statement: [The Book of Salt, involvesHistoricalFigures, Gertrude Stein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesHistoricalFigures Context triple: [The Book of Salt, involvesHistoricalFigures, Gertrude Stein]
-
A.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
B.
addressesHistoricalFigure
Indicates that one entity directly speaks or writes to a person recognized as a historical figure.
-
C.
historicalPeople
Indicates that the related entities are people who lived in or are associated with a past historical period or context.
-
D.
favoriteHistoricalFigure
Indicates that one entity is the historical person whom another entity likes or admires the most.
-
E.
basedOnHistoricalFigure
Indicates that something is derived from, inspired by, or modeled after a real historical person.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69fddac42c4081908568649058e86458 |
completed | May 8, 2026, 12:44 p.m. |
Created at: May 3, 2026, 4:01 p.m.