Triple
T35492023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Soul of the Marionette |
E1025754
|
entity |
| Predicate | comparesHumanBeingsTo |
P193504
|
FINISHED |
| Object | marionettes |
—
|
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: marionettes | Statement: [The Soul of the Marionette, comparesHumanBeingsTo, marionettes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparesHumanBeingsTo Context triple: [The Soul of the Marionette, comparesHumanBeingsTo, marionettes]
-
A.
isHuman
Indicates that the subject entity possesses the defining characteristics or status of being a human.
-
B.
comparedHerChildrenTo
Indicates that one person evaluated or described her children by highlighting similarities or differences between them and something or someone else.
-
C.
comparesHumanColonizationTo
Indicates a relationship where one entity likens or equates a situation, process, or behavior to the historical or ongoing phenomenon of human colonization.
-
D.
treatsHumansAs
Indicates how one entity regards or behaves toward humans, characterizing them in a particular way (e.g., as equals, tools, resources, or threats).
-
E.
distinctionFromHumans
Indicates a relationship where something is characterized or defined specifically by how it differs from humans.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: May 3, 2026, 4:04 p.m.