Triple
T6161930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Getting Married |
E137461
|
entity |
| Predicate | premieredInYear |
P66420
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Rachel Getting Married, premieredInYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premieredInYear Context triple: [Rachel Getting Married, premieredInYear, 2008]
-
A.
originallyPremieredInYear
chosen
Indicates the calendar year in which something (such as a work, show, or event) first premiered or was initially released.
-
B.
premieredIn
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
-
C.
premieredOn
Indicates that an event, work, or production had its first public showing or debut on a specified date or at a specified time.
-
D.
worldPremiereYear
Indicates the calendar year in which a work, event, or production was first publicly premiered anywhere in the world.
-
E.
premieredInProduction
Indicates that a work (such as a play, film, or performance) had its first public showing or debut in a specific production.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.