Triple
T20760696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constructicons |
E510967
|
entity |
| Predicate | notableStoryRole |
P42552
|
FINISHED |
| Object | construction of Decepticon bases |
—
|
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: construction of Decepticon bases | Statement: [Constructicons, notableStoryRole, construction of Decepticon bases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStoryRole Context triple: [Constructicons, notableStoryRole, construction of Decepticon bases]
-
A.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
-
B.
roleInStories
chosen
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
C.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
D.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
-
E.
inNarrativeRole
Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
- 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_69e6c248701081908ae49fca933e05f6 |
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.