Triple
T30311239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindorf |
E770927
|
entity |
| Predicate | partOfCycleOfVillains |
P198572
|
FINISHED |
| Object | Lindorf–Coppélius–Dapertutto–Dr. Miracle |
—
|
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: Lindorf–Coppélius–Dapertutto–Dr. Miracle | Statement: [Lindorf, partOfCycleOfVillains, Lindorf–Coppélius–Dapertutto–Dr. Miracle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCycleOfVillains Context triple: [Lindorf, partOfCycleOfVillains, Lindorf–Coppélius–Dapertutto–Dr. Miracle]
-
A.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
-
B.
focusesOnVillain
Indicates that the primary attention, narrative emphasis, or activity is directed toward a villain as the central subject.
-
C.
antagonistAlterEgoOf
Indicates that one entity serves as the primary opposing force or enemy of another entity’s alternate identity or secret persona.
-
D.
laterEnemyOf
Indicates that one entity becomes an enemy of another at a later time, after not initially being in an antagonistic relationship.
-
E.
villainOrganization
Indicates that an entity is an organization characterized as antagonistic, criminal, or evil within a given context or narrative.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69fef3cdea708190af41c1ff23b68f88 |
completed | May 9, 2026, 8:43 a.m. |
Created at: April 29, 2026, 7:50 p.m.