Triple
T27782496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill Valley Courthouse |
E699369
|
entity |
| Predicate | realWorldInstanceOf |
P163350
|
FINISHED |
| Object | film set building |
—
|
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: film set building | Statement: [Hill Valley Courthouse, realWorldInstanceOf, film set building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realWorldInstanceOf Context triple: [Hill Valley Courthouse, realWorldInstanceOf, film set building]
-
A.
realIdentityInstanceOf
Indicates that an entity’s true or actual identity corresponds to, or is an instance of, a specified type or class.
-
B.
soldInRealWorld
Indicates that the item or product is actually sold or available for purchase in the physical, real-world marketplace.
-
C.
realWorldParallel
Indicates that one entity has a counterpart, analogy, or directly corresponding situation in the real world relative to another entity.
-
D.
hasRealWorldOrigin
Indicates that something is derived from, based on, or directly connected to an actual entity, event, or source in the real world.
-
E.
influencedByRealWorldConcept
Indicates that something is shaped, inspired, or determined by an existing concept, phenomenon, or principle from the real world.
- F. None of above. chosen
Provenance (4 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637cf6d248190a86a85cfeba3719b |
completed | May 2, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:11 p.m.