Triple
T17886009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DC Comics Presents #26 |
E447202
|
entity |
| Predicate | introducesCharacter |
P12208
|
FINISHED |
| Object |
Raven
Raven is a powerful empathic sorceress and member of the Teen Titans in DC Comics, known for her dark magic, demonic heritage, and struggle to control her emotions and powers.
|
E308870
|
NE FINISHED |
How this triple was built (4 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: Raven | Statement: [DC Comics Presents #26, introducesCharacter, Raven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raven Context triple: [DC Comics Presents #26, introducesCharacter, Raven]
-
A.
Raven
Raven is the mascot representing Sequoia High School’s athletic teams and school spirit.
-
B.
Raven
Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
-
C.
Raven
"Raven" is a track featured on the album *Now What*.
-
D.
Raven
Raven is a central trickster-creator figure in Haida mythology, known for shaping the world and bringing light and knowledge to humanity.
-
E.
Raven
Raven is a component or section within the work "The Art of Doing Nothing," likely contributing a distinct thematic or narrative element to the overall piece.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Raven Triple: [DC Comics Presents #26, introducesCharacter, Raven]
Generated description
Raven is a powerful empathic sorceress and member of the Teen Titans in DC Comics, known for her dark magic, demonic heritage, and struggle to control her emotions and powers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raven Target entity description: Raven is a powerful empathic sorceress and member of the Teen Titans in DC Comics, known for her dark magic, demonic heritage, and struggle to control her emotions and powers.
-
A.
Raven
chosen
Raven is a powerful, empathic half-demon sorceress and core member of the Teen Titans, known for her dark, reserved personality and struggle to control her immense magical abilities.
-
B.
Raven
Raven is a central trickster-creator figure in Haida mythology, known for shaping the world and bringing light and knowledge to humanity.
-
C.
Raven
Raven is the central protagonist of "Apprentice Part 1," around whom the story’s main events and character development revolve.
-
D.
Raven
Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
-
E.
Raven
Raven is a minor character appearing in the "Genesis of the Daleks" serial from the long-running British science fiction television series Doctor Who.
- F. None of above.
Provenance (5 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c13bd288190a0302010ba4d0532 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212581ec81908efa3f372e69a47d |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a032250fe1c81909fdca0f670ca7e2d |
completed | May 12, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0322b2aa7c8190a8fbd21403a59c3b |
completed | May 12, 2026, 12:53 p.m. |
Created at: April 10, 2026, 10:18 a.m.