Triple
T28566733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apartment 4A, 2311 North Los Robles Avenue, Pasadena |
E722698
|
entity |
| Predicate | centralSet |
P180224
|
FINISHED |
| Object | The Big Bang Theory |
—
|
NE NERFINISHED |
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: The Big Bang Theory | Statement: [Apartment 4A, 2311 North Los Robles Avenue, Pasadena, centralSet, The Big Bang Theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralSet Context triple: [Apartment 4A, 2311 North Los Robles Avenue, Pasadena, centralSet, The Big Bang Theory]
-
A.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
B.
centerIs
Indicates that one entity serves as the central point or middle position of another entity or space.
-
C.
centerType
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an entity.
-
D.
centralWork
Indicates that a particular work is the primary, most important, or focal work associated with an entity or context.
-
E.
centralEntity
Indicates that the subject serves as the primary or most important entity around which related entities, actions, or information are organized.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 28, 2026, 4:07 a.m.