Triple
T29418853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Brown |
E746101
|
entity |
| Predicate | portrayedInCritters2By |
P192916
|
FINISHED |
| Object | Scott Grimes |
—
|
NE NERFINISHED |
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: Scott Grimes | Statement: [Brad Brown, portrayedInCritters2By, Scott Grimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedInCritters2By Context triple: [Brad Brown, portrayedInCritters2By, Scott Grimes]
-
A.
portrayedInAnimationBy
Indicates that an entity is represented or voiced in an animated work by a particular performer or creator.
-
B.
portrayedBySpeciesActor
Indicates that an entity is depicted or represented by an actor belonging to a particular species.
-
C.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
-
D.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
E.
portraysRealAnimal
Indicates that the subject depicts or represents an actual, non-fictional animal rather than an imaginary or stylized creature.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 28, 2026, 3:03 p.m.