Triple
T19399735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Frost's collected works |
E485285
|
entity |
| Predicate | collectedFromAuthorLifespan |
P27074
|
FINISHED |
| Object | 1874–1963 |
—
|
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: 1874–1963 | Statement: [Robert Frost's collected works, collectedFromAuthorLifespan, 1874–1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectedFromAuthorLifespan Context triple: [Robert Frost's collected works, collectedFromAuthorLifespan, 1874–1963]
-
A.
authorLifespanContext
Indicates the temporal or historical context of an author’s life span in relation to other events, periods, or entities.
-
B.
creatorLifespan
chosen
Indicates the time period between the birth and death of the creator associated with an entity.
-
C.
authorBirthYear
Indicates the year in which the author of a work or text was born.
-
D.
yearOfAuthorDeathRelation
Indicates the specific year in which the referenced author died.
-
E.
eraOfAuthor
Indicates the historical time period or era during which an author lived or produced their work.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257692508190b658928e224d72d7 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.