Triple
T38647945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Introduction: Rhizome |
E938767
|
entity |
| Predicate | openingPlateauOf |
P194734
|
FINISHED |
| Object | A Thousand Plateaus |
E276756
|
NE 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: A Thousand Plateaus | Statement: [Introduction: Rhizome, openingPlateauOf, A Thousand Plateaus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingPlateauOf Context triple: [Introduction: Rhizome, openingPlateauOf, A Thousand Plateaus]
-
A.
openingConcept
Indicates that one concept serves as the initial or introductory element in relation to another concept, such as the first idea, section, or phase in a sequence or structure.
-
B.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
C.
openingPractice
Indicates the practice or rehearsal of opening moves, procedures, or initial actions in a given context.
-
D.
openingThemeType
Indicates the type or category of an opening theme associated with a work or media.
-
E.
westernOpening
Indicates that an entity begins or is initiated in the western part or from a western direction relative to another reference point or region.
- F. None of above. chosen
Provenance (5 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a42158606688190bb156d99bb0b556c |
completed | June 29, 2026, 6:49 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
| PDg | Predicate description generation | batch_69fd82ebe1c081908455fc45b6e45178 |
completed | May 8, 2026, 6:30 a.m. |
Created at: May 3, 2026, 4:32 p.m.