Triple
T3026564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markings |
E82588
|
entity |
| Predicate | authorLifespanContext |
P44714
|
FINISHED |
| Object | written during Dag Hammarskjöld's tenure as UN Secretary-General |
—
|
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: written during Dag Hammarskjöld's tenure as UN Secretary-General | Statement: [Markings, authorLifespanContext, written during Dag Hammarskjöld's tenure as UN Secretary-General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorLifespanContext Context triple: [Markings, authorLifespanContext, written during Dag Hammarskjöld's tenure as UN Secretary-General]
-
A.
creatorLifespan
Indicates the time period between the birth and death of the creator associated with an entity.
-
B.
dateOfAuthorDeathBeforePublication
Indicates that the author of a work died before that work was published.
-
C.
yearOfAuthorDeathRelation
Indicates the specific year in which the referenced author died.
-
D.
authorBirthYear
Indicates the year in which the author of a work or text was born.
-
E.
authorshipEvidence
Indicates evidence or justification supporting a claim that one entity is the author or creator of another.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abd85348190aba9e40658697665 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.