Triple
T4528069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destino (Disney–Dalí short film) |
E106228
|
entity |
| Predicate | initialProductionStartDate |
P39672
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Destino (Disney–Dalí short film), initialProductionStartDate, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialProductionStartDate Context triple: [Destino (Disney–Dalí short film), initialProductionStartDate, 1945]
-
A.
firstProducedAt
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
-
B.
firstProductionYear
chosen
Indicates the year in which something (such as a product, work, or item) was first produced.
-
C.
firstProducedFor
Indicates that something was initially created, manufactured, or developed specifically for a particular recipient, purpose, or context.
-
D.
massProductionStart
Indicates the point in time when an item or product begins to be manufactured at large scale in a mass-production process.
-
E.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd577737848190ad509c8bb8e57ec0 |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.