Triple

T4506490
Position Surface form Disambiguated ID Type / Status
Subject WildStorm E101342 entity
Predicate notableTitle P22 FINISHED
Object Gen¹³
Gen¹³ is a popular 1990s WildStorm comic book series about a group of superpowered teenagers recruited into a covert government program.
 E447171 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: Gen¹³ | Statement: [WildStorm, notableTitle, Gen¹³]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gen¹³
Context triple: [WildStorm, notableTitle, Gen¹³]
  • A. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • E. Gro
    Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
  • 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: Gen¹³
Triple: [WildStorm, notableTitle, Gen¹³]
Generated description
Gen¹³ is a popular 1990s WildStorm comic book series about a group of superpowered teenagers recruited into a covert government program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gen¹³
Target entity description: Gen¹³ is a popular 1990s WildStorm comic book series about a group of superpowered teenagers recruited into a covert government program.
  • A. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Ga
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • E. Gro
    Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56ff78748190bb667e70c69dc817 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9d05d08190bde36e7d614a0e2e completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd705f5fc481908236c3ff4e6ccb26 completed March 20, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69bd70c7abd08190b2010b7baf0cb8fd completed March 20, 2026, 4:07 p.m.
Created at: March 20, 2026, 1:01 p.m.