Triple
T35007657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DC Super Hero Girls |
E1009855
|
entity |
| Predicate | featuresTeenageVersionsOf |
P82001
|
FINISHED |
| Object | DC Comics superheroes |
—
|
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: DC Comics superheroes | Statement: [DC Super Hero Girls, featuresTeenageVersionsOf, DC Comics superheroes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTeenageVersionsOf Context triple: [DC Super Hero Girls, featuresTeenageVersionsOf, DC Comics superheroes]
-
A.
teenageCharacter
Indicates that the character is in their teenage years, typically between ages 13 and 19.
-
B.
hasTeenageProtagonist
Indicates that the main character in the work is a teenager.
-
C.
portraysYoungerVersionOfCharacterFrom
chosen
Indicates that one character is depicted as a younger version of another character from a specified source.
-
D.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
E.
featuresEarlyVersionOf
Indicates that something includes or presents an earlier or preliminary version of another thing.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.