Triple

T6954121
Position Surface form Disambiguated ID Type / Status
Subject Old Wounds E161197 entity
Predicate featuresFictionalCharacter P50141 FINISHED
Object Raven
Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
E630749 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: [Old Wounds, featuresFictionalCharacter, Raven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raven
Context triple: [Old Wounds, featuresFictionalCharacter, 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 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.
  • D. Raven Darkhölme
    Raven Darkhölme, better known as Mystique, is a blue-skinned, shape-shifting mutant and frequent antihero in Marvel's X-Men universe.
  • E. Ganada (Raven)
    Ganada (Raven) is one of the principal matrilineal clans of the Nisga’a people, traditionally associated with the Raven crest and its related stories, rights, and responsibilities.
  • 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: [Old Wounds, featuresFictionalCharacter, Raven]
Generated description
Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raven
Target entity description: Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
  • A. 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.
  • 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 mascot representing Sequoia High School’s athletic teams and school spirit.
  • D. Raven Darkhölme
    Raven Darkhölme, better known as Mystique, is a blue-skinned, shape-shifting mutant and frequent antihero in Marvel's X-Men universe.
  • E. Ganada (Raven)
    Ganada (Raven) is one of the principal matrilineal clans of the Nisga’a people, traditionally associated with the Raven crest and its related stories, rights, and responsibilities.
  • F. None of above. chosen

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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759a5eebc8190934ea04a2ce20287 completed March 28, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c75a19d27c819089cfa625dfccfe6f completed March 28, 2026, 4:33 a.m.
Created at: March 27, 2026, 2:29 p.m.