Triple
T31471726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bingo |
E802876
|
entity |
| Predicate | characterInPeriodOfLifeDepicted |
P105042
|
FINISHED |
| Object | final years of William Shakespeare |
—
|
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: final years of William Shakespeare | Statement: [Bingo, characterInPeriodOfLifeDepicted, final years of William Shakespeare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInPeriodOfLifeDepicted Context triple: [Bingo, characterInPeriodOfLifeDepicted, final years of William Shakespeare]
-
A.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
B.
portrayalAge
Indicates the age or life stage at which an entity is depicted or represented in a given context.
-
C.
depictsLifePeriod
chosen
Indicates that one entity visually represents or portrays a specific period or phase in the life of another entity.
-
D.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
-
E.
portrayedAsAdultBy
Indicates that one entity is depicted or represented as an adult by another entity (such as an artist, author, or creator).
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 30, 2026, 9:26 p.m.