Triple
T31192673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimson Dynamo |
E795222
|
entity |
| Predicate | firstCrimsonDynamoOccupation |
P35945
|
FINISHED |
| Object | Soviet scientist |
—
|
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: Soviet scientist | Statement: [Crimson Dynamo, firstCrimsonDynamoOccupation, Soviet scientist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCrimsonDynamoOccupation Context triple: [Crimson Dynamo, firstCrimsonDynamoOccupation, Soviet scientist]
-
A.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
B.
characterFormerOccupation
chosen
Indicates that a character previously held a specific occupation but no longer does.
-
C.
protagonistParentOccupation
Indicates the occupation or job held by the protagonist’s parent in the described context.
-
D.
hasOccupationOfDeuteragonist
Indicates that an entity holds the role of deuteragonist, i.e., the second most important character in a narrative or dramatic work.
-
E.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:08 p.m.