Triple
T15030805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eat Mor Chikin |
E378337
|
entity |
| Predicate | portraysCowsAs |
P18297
|
FINISHED |
| Object | spokescharacters |
—
|
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: spokescharacters | Statement: [Eat Mor Chikin, portraysCowsAs, spokescharacters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysCowsAs Context triple: [Eat Mor Chikin, portraysCowsAs, spokescharacters]
-
A.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
B.
oftenDepictedAs
chosen
Indicates that one entity is frequently represented or portrayed in the form, appearance, or symbolism of another entity.
-
C.
usesPastoralSetting
Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
-
D.
hidesCattleBy
Indicates that one entity conceals or keeps cattle out of sight by means of, or through the action of, another entity.
-
E.
ruminantType
Indicates that one entity is classified as a type or category within the group of ruminant animals in relation to another entity.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.