Triple
T20761612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cube |
E510987
|
entity |
| Predicate | goalOfMegatron |
P108466
|
FINISHED |
| Object | use to create a new Decepticon army on Earth |
—
|
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: use to create a new Decepticon army on Earth | Statement: [The Cube, goalOfMegatron, use to create a new Decepticon army on Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfMegatron Context triple: [The Cube, goalOfMegatron, use to create a new Decepticon army on Earth]
-
A.
manufacturerGoal
Indicates that a manufacturer has a specific objective, target, or desired outcome it aims to achieve.
-
B.
machineGoal
Indicates that a machine or automated system has a specific objective, target state, or outcome it is intended or programmed to achieve.
-
C.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
D.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
-
E.
missionOfAntagonist
chosen
Indicates the primary goal, plan, or objective that the antagonist is actively pursuing.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2493a188190a336a35ea134e5f7 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.