Triple
T34672276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Decimation |
E890406
|
entity |
| Predicate | causedByCharacter |
P192520
|
FINISHED |
| Object | Thanos |
—
|
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: Thanos | Statement: [The Decimation, causedByCharacter, Thanos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causedByCharacter Context triple: [The Decimation, causedByCharacter, Thanos]
-
A.
explainedByCharacter
Indicates that something (such as an event, situation, or piece of information) is explained or clarified by a particular character.
-
B.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
-
C.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
D.
consumedByCharacter
Indicates that something (such as an item, resource, or substance) is eaten, drunk, or otherwise used up by a particular character.
-
E.
analyzedByCharacter
Indicates that something (such as an event, object, or situation) is examined, interpreted, or evaluated by a particular character.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: May 1, 2026, 2:05 a.m.