Triple

T35014260
Position Surface form Disambiguated ID Type / Status
Subject Rose Wilson E1010011 entity
Predicate comicBookDebut P23309 FINISHED
Object Deathstroke vol. 2 #15
Deathstroke vol. 2 #15 is a DC Comics issue from the second Deathstroke series notable for introducing the character Rose Wilson, the daughter of Deathstroke.
E2125770 NE FINISHED

How this triple was built (2 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: Deathstroke vol. 2 #15 | Statement: [Rose Wilson, comicBookDebut, Deathstroke vol. 2 #15]
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: Deathstroke vol. 2 #15
Triple: [Rose Wilson, comicBookDebut, Deathstroke vol. 2 #15]
Generated description
Deathstroke vol. 2 #15 is a DC Comics issue from the second Deathstroke series notable for introducing the character Rose Wilson, the daughter of Deathstroke.

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_69f76dcc3ac8819096a3ed52f5fa2523 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78512737c8190b6d70ae5bed98073 completed May 3, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfdc245c81909be620c52cc1dba7 completed June 21, 2026, 11:49 a.m.
NEDg Description generation batch_6a37d07ba708819081b552b8a69313e5 completed June 21, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37d1935d9881909cee3755fec2d996 completed June 21, 2026, 11:57 a.m.
Created at: May 3, 2026, 4:01 p.m.