Triple
T21104145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Grimes |
E519993
|
entity |
| Predicate | firstMajorAmericanProductionYear |
P142859
|
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: [Peter Grimes, firstMajorAmericanProductionYear, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorAmericanProductionYear Context triple: [Peter Grimes, firstMajorAmericanProductionYear, 1948]
-
A.
firstMajorUseYear
Indicates the calendar year in which something was first put into major or primary use.
-
B.
firstMajorProduction
Indicates that an entity is the earliest significant or primary production (such as a film, play, or large-scale work) associated with another entity.
-
C.
firstMajorEventYear
Indicates the calendar year in which the entity’s first major event occurred.
-
D.
firstMajorRunYear
Indicates the year in which something (such as an event, production, or operation) first began its major or primary run.
-
E.
firstEnglishLanguageProductionDate
Indicates the date on which an entity was first produced or released in the English language.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b6050e481908a5e48b667ac1503 |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:53 p.m.