Triple

T12911379
Position Surface form Disambiguated ID Type / Status
Subject Beast Boy E308871 entity
Predicate romanticInterest P7325 FINISHED
Object Raven
Raven is a powerful empathic sorceress and core member of the Teen Titans in DC Comics, known for her dark, reserved demeanor and struggle to control her demonic heritage.
 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: [Beast Boy, romanticInterest, Raven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raven
Context triple: [Beast Boy, romanticInterest, Raven]
  • A. Raven
    Raven is a central trickster-creator figure in Haida mythology, known for shaping the world and bringing light and knowledge to humanity.
  • B. Raven
    Raven is the mascot representing Sequoia High School’s athletic teams and school spirit.
  • C. Raven
    Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
  • D. 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.
  • E. Raven
    Raven is the surname of American botanist and environmentalist Peter H. Raven, renowned for his work in plant systematics and biodiversity conservation.
  • 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: [Beast Boy, romanticInterest, Raven]
Generated description
Raven is a powerful empathic sorceress and core member of the Teen Titans in DC Comics, known for her dark, reserved demeanor and struggle to control her demonic heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raven
Target entity description: Raven is a powerful empathic sorceress and core member of the Teen Titans in DC Comics, known for her dark, reserved demeanor and struggle to control her demonic heritage.
  • 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 a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
  • D. Raven
    Raven is the mascot representing Sequoia High School’s athletic teams and school spirit.
  • E. Raven
    Raven is the surname of American botanist and environmentalist Peter H. Raven, renowned for his work in plant systematics and biodiversity conservation.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719f96248190b746f9d4a468560c completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d101e08190b31d6aaaecf96507 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6bcf694408190abf5e0f27e538fa7 completed May 3, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_69f6bdb589248190b1a111eb5655dd19 completed May 3, 2026, 3:15 a.m.
Created at: April 9, 2026, 5:41 p.m.