Triple
T5307126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The AllSpark |
E120128
|
entity |
| Predicate | shapeIn2007Film |
P50414
|
FINISHED |
| Object | large metallic cube |
—
|
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: large metallic cube | Statement: [The AllSpark, shapeIn2007Film, large metallic cube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeIn2007Film Context triple: [The AllSpark, shapeIn2007Film, large metallic cube]
-
A.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
B.
portrayedInFilmMedium
chosen
Indicates that an entity is depicted or represented within a film or cinematic work.
-
C.
studioSystemFilm
Indicates that a film was produced, distributed, or otherwise created under the control or framework of a particular studio system.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.