Triple
T901463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulitzer Prize for Fiction |
E19455
|
entity |
| Predicate | currentNameUsedFrom |
P21184
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [Pulitzer Prize for Fiction, currentNameUsedFrom, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentNameUsedFrom Context triple: [Pulitzer Prize for Fiction, currentNameUsedFrom, 1948]
-
A.
currentName
Indicates the present or most recently assigned name associated with an entity.
-
B.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
C.
nameUsedBy
Indicates that a particular name is employed or referenced by a specific entity.
-
D.
formerName
Indicates that an entity was previously known by a different name in the past.
-
E.
nameUsedToAvoid
Indicates that one entity uses a particular name or designation in order to avoid another entity or an unwanted situation involving that entity.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4412408190a6bf8fc7484a5781 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa979d408190b17ccfde132ea628 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4abb157d08190a7d7281eb3f1b788 |
completed | March 1, 2026, 9:12 p.m. |
Created at: March 1, 2026, 7:39 p.m.