Triple
T30958414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flip-o-rama comics |
E788739
|
entity |
| Predicate | hasInstruction |
P69226
|
FINISHED |
| Object | directions to flip pages quickly |
—
|
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: directions to flip pages quickly | Statement: [Flip-o-rama comics, hasInstruction, directions to flip pages quickly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstruction Context triple: [Flip-o-rama comics, hasInstruction, directions to flip pages quickly]
-
A.
hasInstructionModel
Indicates that one entity is associated with, or utilizes, a specific instruction-oriented model to guide its behavior or processing.
-
B.
hasInstructionPrefix
Indicates that one entity provides an initial segment or starting portion that serves as the instruction prefix for another entity.
-
C.
hasInstructionSet
Indicates that one entity (typically a processor or system) is defined as using or supporting a particular instruction set.
-
D.
includesInstruction
chosen
Indicates that one entity contains, provides, or embeds an instruction or set of instructions directed toward another entity.
-
E.
hasInstructionCache
Indicates that an entity possesses or is equipped with an instruction cache for storing and accessing executable instructions.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: April 29, 2026, 8:54 p.m.