Triple
T3300322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pummerin bell |
E69313
|
entity |
| Predicate | originalVersionCastIn |
P9534
|
FINISHED |
| Object | 1711 |
—
|
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: 1711 | Statement: [Pummerin bell, originalVersionCastIn, 1711]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalVersionCastIn Context triple: [Pummerin bell, originalVersionCastIn, 1711]
-
A.
originalRelease
Indicates the initial publication or first official release event of a work or product.
-
B.
castIn
chosen
Indicates that an actor or performer appears in a particular film, show, or production.
-
C.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
-
D.
originallyRecordedFor
Indicates that a work or performance was first recorded with the specific purpose of being used, released, or presented in the context of the target entity.
-
E.
leadActorPlaysVersionOfSelf
Indicates that the lead actor in a work portrays a character that is a version or representation of themselves.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a66fcc819093931fe7a6507723 |
completed | March 8, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69ada42407dc81909f60d7a14e1b7934 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.