Triple
T4569586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEN Translation Prize |
E122996
|
entity |
| Predicate | hasJurors |
P57763
|
FINISHED |
| Object | panel of literary professionals |
—
|
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: panel of literary professionals | Statement: [PEN Translation Prize, hasJurors, panel of literary professionals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJurors Context triple: [PEN Translation Prize, hasJurors, panel of literary professionals]
-
A.
hasNumberOfJurors
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
-
B.
hasSubJuries
Indicates that an entity (typically a main jury or committee) is composed of or associated with one or more subordinate juries.
-
C.
usesJuries
Indicates that a legal system, court, or process employs juries to participate in deciding cases or determining outcomes.
-
D.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
E.
hasJuryType
Indicates that an entity is associated with, or classified by, a specific type or category of jury.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58a0dfbc81909b5023f0c29addaf |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.