Triple

T18144835
Position Surface form Disambiguated ID Type / Status
Subject Simon Raven E434358 entity
Predicate familyName P18 FINISHED
Object Raven
Raven is a common English surname of Germanic origin, historically associated with individuals bearing the given name or nickname related to the bird.
 E883376 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: [Simon Raven, familyName, Raven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raven
Context triple: [Simon Raven, familyName, 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 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: [Simon Raven, familyName, Raven]
Generated description
Raven is a common English surname of Germanic origin, historically associated with individuals bearing the given name or nickname related to the bird.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raven
Target entity description: Raven is a common English surname of Germanic origin, historically associated with individuals bearing the given name or nickname related to the bird.
  • A. Raven chosen
    Raven is the surname of American botanist and environmentalist Peter H. Raven, renowned for his work in plant systematics and biodiversity conservation.
  • 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 central trickster-creator figure in Haida mythology, known for shaping the world and bringing light and knowledge to humanity.
  • D. Raven
    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.
  • E. Raven
    Raven is the mascot representing Sequoia High School’s athletic teams and school spirit.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de32d3f88190bd9f406729716407 completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fb549d88190b9e4bf3dbd1c35b5 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a039182427c81909de840ddf7b2172f completed May 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a03927b1794819098106ca3695178dc completed May 12, 2026, 8:50 p.m.
Created at: April 10, 2026, 10:29 a.m.