Triple
T37595452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quentin Tarantino universe |
E935372
|
entity |
| Predicate | hasSubUniverse |
P117971
|
FINISHED |
| Object | movie-universe |
—
|
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: movie-universe | Statement: [Quentin Tarantino universe, hasSubUniverse, movie-universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubUniverse Context triple: [Quentin Tarantino universe, hasSubUniverse, movie-universe]
-
A.
hasSubrealm
chosen
Indicates that one realm or domain is a subordinate or contained sub-part of another, higher-level realm or domain.
-
B.
hasSubspace
Indicates that one space is a subset or component of another, existing entirely within the larger space.
-
C.
hasSubcommunityIn
Indicates that a larger community contains or encompasses a smaller, distinct subcommunity located within it.
-
D.
hasSubchron
Indicates that a given chronostratigraphic unit is divided into, or contains, one or more subordinate subchrons.
-
E.
hasSubunits
Indicates that an entity is composed of or organized into smaller constituent units that are part of its structure.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0058c341ac8190825067dc25158839 |
completed | May 10, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_6a005857249c81908b27587b84d84dbb |
completed | May 10, 2026, 10:05 a.m. |
Created at: May 3, 2026, 4:18 p.m.