Triple
T20164895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Macho |
E491802
|
entity |
| Predicate | transformsMinionsInto |
P119384
|
FINISHED |
| Object | evil purple minions |
—
|
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: evil purple minions | Statement: [El Macho, transformsMinionsInto, evil purple minions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformsMinionsInto Context triple: [El Macho, transformsMinionsInto, evil purple minions]
-
A.
minion
Indicates a relationship where one entity serves another in a subordinate, obedient, or subservient role, often carrying out tasks or orders on their behalf.
-
B.
takesFormOf
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
-
C.
transformsCharacterInto
chosen
Indicates that one entity causes or undergoes a change that turns a character into another form, state, or identity.
-
D.
turnsIntoAnimals
Indicates a transformation relationship where an entity changes its form or state into one or more animals.
-
E.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.