Triple
T35008097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doom Patrol #99 |
E1009865
|
entity |
| Predicate | introducesCharacterToUniverse |
P151722
|
FINISHED |
| Object | Beast Boy |
—
|
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: Beast Boy | Statement: [Doom Patrol #99, introducesCharacterToUniverse, Beast Boy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesCharacterToUniverse Context triple: [Doom Patrol #99, introducesCharacterToUniverse, Beast Boy]
-
A.
introducesFictionalCharacter
chosen
Indicates that one entity is responsible for first presenting or bringing a fictional character into a narrative work or story.
-
B.
introducesFictionalUniverse
Indicates that an entity is responsible for originating or first presenting a particular fictional universe or setting.
-
C.
introducesCharacterSpecies
Indicates that an entity presents or brings into a context the species to which a character belongs.
-
D.
introducesSuperhero
Indicates that one entity presents or brings a superhero character into a story, context, or situation for the first time.
-
E.
inUniverseCharacter
Indicates that a character exists within, and is part of, the fictional universe or continuity defined by a particular work or franchise.
- 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_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.