Triple
T16636218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deirdre Beaubeirdre |
E404210
|
entity |
| Predicate | universeContext |
P123675
|
FINISHED |
| Object | multiverse |
—
|
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: multiverse | Statement: [Deirdre Beaubeirdre, universeContext, multiverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universeContext Context triple: [Deirdre Beaubeirdre, universeContext, multiverse]
-
A.
universeName
Indicates the name or designated title assigned to a particular universe or cosmic setting.
-
B.
unitContext
Indicates the contextual framework or setting (such as scope, conditions, or environment) within which a particular unit, instance, or occurrence is defined or interpreted.
-
C.
universe
Indicates that something pertains to, exists within, or is associated with the entirety of space, time, matter, and phenomena collectively referred to as the universe.
-
D.
inUniverseReference
Indicates that one entity makes a reference to another entity that exists within the same fictional or conceptual universe.
-
E.
cosmologyModelContext
Indicates the contextual relationship between a cosmological model and the specific theoretical, observational, or interpretive framework within which that model is defined or applied.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.