Triple
T20760990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takara |
E510974
|
entity |
| Predicate | roleInTransformers |
P141407
|
FINISHED |
| Object | created original toy designs later branded as Transformers |
—
|
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: created original toy designs later branded as Transformers | Statement: [Takara, roleInTransformers, created original toy designs later branded as Transformers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTransformers Context triple: [Takara, roleInTransformers, created original toy designs later branded as Transformers]
-
A.
roleInTransformers: Dark of the Moon
Indicates that an entity has a role or appearance in the film "Transformers: Dark of the Moon."
-
B.
roleInTronLegacy
Indicates that an entity had an acting or production role in the movie "Tron: Legacy."
-
C.
roleInToyStory2
Indicates that an entity has a specific acting or character role in the movie "Toy Story 2."
-
D.
roleInMonsterVerse
Indicates that an entity has a specific role or function within the MonsterVerse franchise or universe.
-
E.
roleInTesla
Indicates that one entity holds or held a specific role, position, or function within the organization Tesla.
- 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_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. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:35 p.m.