Triple

T9980371
Position Surface form Disambiguated ID Type / Status
Subject Full Throttle E196434 entity
Predicate hasShortStory P6847 FINISHED
Object Mums
"Mums" is a short story set in the universe of the video game Full Throttle, expanding on its characters and world.
 E834134 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: Mums | Statement: [Full Throttle, hasShortStory, Mums]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mums
Context triple: [Full Throttle, hasShortStory, Mums]
  • A. Mothers
    Mothers is a section of the Tokyo Stock Exchange dedicated to emerging and high-growth startup companies seeking public investment.
  • B. MOM
    MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
  • C. MOM
    MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
  • D. Mam
    Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
  • E. Mamiii
    "Mamiii" is a hit reggaeton song by Colombian singer Karol G, known for its empowering breakup theme and widespread commercial success across Latin music charts.
  • 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: Mums
Triple: [Full Throttle, hasShortStory, Mums]
Generated description
"Mums" is a short story set in the universe of the video game Full Throttle, expanding on its characters and world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mums
Target entity description: "Mums" is a short story set in the universe of the video game Full Throttle, expanding on its characters and world.
  • A. Mothers
    Mothers is a section of the Tokyo Stock Exchange dedicated to emerging and high-growth startup companies seeking public investment.
  • B. MOM
    MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
  • C. MOM
    MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
  • D. Mam
    Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
  • E. Mamiii
    "Mamiii" is a hit reggaeton song by Colombian singer Karol G, known for its empowering breakup theme and widespread commercial success across Latin music charts.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8b9aca881908a9b5dfd7e0de4ba completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257df420881909edac01b4e331c1e completed April 5, 2026, 12:38 p.m.
NEDg Description generation batch_69d258b6d9c0819096dbd3e85dc6adfc completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d25981db3c8190b7b4935cdcc1fe1c completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:49 p.m.