Triple
T35119668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starr Carter |
E1014130
|
entity |
| Predicate | bookSetting |
P182552
|
FINISHED |
| Object | contemporary United States |
—
|
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: contemporary United States | Statement: [Starr Carter, bookSetting, contemporary United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookSetting Context triple: [Starr Carter, bookSetting, contemporary United States]
-
A.
bookCharacteristic
Indicates that a particular characteristic, feature, or attribute is associated with a given book.
-
B.
bookSelection
Indicates the act or result of choosing a particular book from a set of available options.
-
C.
bookAppearance
Indicates that an entity’s visual or physical characteristics as presented in a book are being described or referenced.
-
D.
bookWriter
Indicates that a person is the author who wrote the specified book.
-
E.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.