Triple
T4570437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megatron |
E123015
|
entity |
| Predicate | franchiseMedium |
P57779
|
FINISHED |
| Object | animated television series |
—
|
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: animated television series | Statement: [Megatron, franchiseMedium, animated television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseMedium Context triple: [Megatron, franchiseMedium, animated television series]
-
A.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
B.
franchiseGenre
Indicates that a franchise belongs to or is categorized under a particular genre.
-
C.
franchiseUniverse
Indicates that multiple works, characters, or stories exist within and are connected by the same overarching fictional franchise or narrative universe.
-
D.
franchiseName
Indicates that an entity is identified by or associated with a specific franchise’s official name.
-
E.
franchiseElement
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c3eba48190af1fce6e1ca16943 |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.