Triple
T13500258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Schuyler Green |
E320868
|
entity |
| Predicate | workOfFictionDate |
P105461
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Philip Schuyler Green, workOfFictionDate, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOfFictionDate Context triple: [Philip Schuyler Green, workOfFictionDate, 1947]
-
A.
literarySourcePublicationYear
chosen
Indicates the year in which the literary source associated with an entity was originally published.
-
B.
periodWrittenIn
Indicates the time period during which something was written or created.
-
C.
proseEditionPublicationYear
Indicates the year in which a particular prose edition of a work was published.
-
D.
firstWellKnownLiteraryVersionYear
Indicates the year in which the first well-known literary version of something (such as a story, character, or motif) was published or recorded.
-
E.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.