Triple
T1009140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulitzer Prize for Poetry |
E21780
|
entity |
| Predicate | formerNameUsedInYears |
P17449
|
FINISHED |
| Object | 1922–1923 |
—
|
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: 1922–1923 | Statement: [Pulitzer Prize for Poetry, formerNameUsedInYears, 1922–1923]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameUsedInYears Context triple: [Pulitzer Prize for Poetry, formerNameUsedInYears, 1922–1923]
-
A.
formerName
Indicates that an entity was previously known by a different name in the past.
-
B.
formerNamePeriodStart
chosen
Indicates the date or time point when an entity began using a former name that is being recorded.
-
C.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
-
D.
formerNamePeriodEnd
Indicates the point in time when an entity stopped using a former name.
-
E.
currentNameUsedFrom
Indicates that an entity’s currently used name has been in effect starting from a specified point in time or source.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.