Triple
T29118995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Encyclopedia Foundation |
E737123
|
entity |
| Predicate | primaryActivityInFiction |
P185944
|
FINISHED |
| Object | compiling galactic knowledge (ostensibly) |
—
|
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: compiling galactic knowledge (ostensibly) | Statement: [Encyclopedia Foundation, primaryActivityInFiction, compiling galactic knowledge (ostensibly)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryActivityInFiction Context triple: [Encyclopedia Foundation, primaryActivityInFiction, compiling galactic knowledge (ostensibly)]
-
A.
fictionalFocus
Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
-
B.
fictionalActivity
chosen
Indicates that an entity participates in, performs, or is associated with an activity that exists only in fiction or imaginative contexts.
-
C.
fictionalType
Indicates that one entity is a fictional or imaginary type or category of the other entity.
-
D.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
-
E.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a00b7fb90f881908f73edf2be8cc3a5 |
completed | May 10, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_6a00b75593d08190b3e76191cd79cdec |
completed | May 10, 2026, 4:50 p.m. |
Created at: April 28, 2026, 11:24 a.m.