Triple
T30267023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chocolate Soldier |
E769676
|
entity |
| Predicate | firstLondonProductionYear |
P54464
|
FINISHED |
| Object | 1910 |
—
|
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: 1910 | Statement: [The Chocolate Soldier, firstLondonProductionYear, 1910]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLondonProductionYear Context triple: [The Chocolate Soldier, firstLondonProductionYear, 1910]
-
A.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
B.
originalLondonProductionYear
chosen
Indicates the year in which the work’s original production or premiere took place in London.
-
C.
firstArrivalYear
Indicates the calendar year in which an entity first arrived at or was initially present in a specified place or context.
-
D.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
E.
firstEastCoastProductionYear
Indicates the year in which an entity first began production or operation on the East Coast.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01bcd39760819081807a02eb1939d1 |
completed | May 11, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_6a01bc3f1c74819087580e3134affc60 |
completed | May 11, 2026, 11:23 a.m. |
Created at: April 29, 2026, 7:43 p.m.