Triple

T13232138
Position Surface form Disambiguated ID Type / Status
Subject Lesley Manville E315046 entity
Predicate notableWork P4 FINISHED
Object Mum
Mum is a British television sitcom starring Lesley Manville as a recently widowed woman navigating family life with warmth and understated humor.
 E1029058 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: Mum | Statement: [Lesley Manville, notableWork, Mum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mum
Context triple: [Lesley Manville, notableWork, Mum]
  • A. Mums
    "Mums" is a short story set in the universe of the video game Full Throttle, expanding on its characters and world.
  • B. Mam
    Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
  • C. 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.
  • D. 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.
  • E. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • 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: Mum
Triple: [Lesley Manville, notableWork, Mum]
Generated description
Mum is a British television sitcom starring Lesley Manville as a recently widowed woman navigating family life with warmth and understated humor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mum
Target entity description: Mum is a British television sitcom starring Lesley Manville as a recently widowed woman navigating family life with warmth and understated humor.
  • A. Mums
    "Mums" is a short story set in the universe of the video game Full Throttle, expanding on its characters and world.
  • B. Mam
    Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
  • C. 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.
  • D. 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.
  • E. Mama
    Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d34ff288190bdb550a019b7a470 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2c07488190ad07c544cca63a7d completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f70408b2088190989c3b38a5d66495 completed May 3, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69f70518acc0819089a987abfd42f928 completed May 3, 2026, 8:19 a.m.
Created at: April 9, 2026, 9:22 p.m.