Triple
T20573573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Injustice: Gods Among Us |
E505157
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Raven
Raven is a powerful half-demon sorceress and empath from DC Comics, known for her dark magic, internal struggle against her demonic heritage, and membership in the Teen Titans.
|
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: [Injustice: Gods Among Us, character, Raven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raven Context triple: [Injustice: Gods Among Us, character, 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 British heavy metal band formed in the mid-1970s, known for its high-energy performances and influential role in the New Wave of British Heavy Metal movement.
-
E.
Raven
"Raven" is a song by the Dave Matthews Band, featured on their 2002 studio album "Busted Stuff."
- 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: [Injustice: Gods Among Us, character, Raven]
Generated description
Raven is a powerful half-demon sorceress and empath from DC Comics, known for her dark magic, internal struggle against her demonic heritage, and membership in the Teen Titans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raven Target entity description: Raven is a powerful half-demon sorceress and empath from DC Comics, known for her dark magic, internal struggle against her demonic heritage, and membership in the Teen Titans.
-
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 the blue-skinned, shape-shifting mutant better known as Mystique in Marvel's X-Men universe.
-
C.
Raven
Raven is a formidable and enigmatic Aleutian harpooner and antagonist in Neal Stephenson’s cyberpunk novel "Snow Crash," known for his lethal skills and deep-seated vendetta against the United States.
-
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 fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9087af88190a4610ecb29f637ca |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3e23d748190ba4eab3d0e16bb8c |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b4b6b1cc8190b3fb92d2ca729e0a |
completed | May 16, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b57ff3e48190952c973726821e2b |
completed | May 16, 2026, 6:20 p.m. |
Created at: April 16, 2026, 11:39 a.m.