Triple

T9300254
Position Surface form Disambiguated ID Type / Status
Subject Living in the USA E223740 entity
Predicate followedBy P78 FINISHED
Object Mad Love
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
E789672 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: Mad Love | Statement: [Living in the USA, followedBy, Mad Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mad Love
Context triple: [Living in the USA, followedBy, Mad Love]
  • A. Mad Love
    "Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
  • B. Mad Love
    "Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
  • C. Strange Love
    Strange Love is a reality television series that follows the tumultuous romantic relationship between Brigitte Nielsen and rapper Flavor Flav.
  • D. Strange Love
    "Strange Love" is a soulful, introspective R&B track by American singer-songwriter Cautious Clay that showcases his smooth vocals and atmospheric production.
  • E. Love in Excess
    Love in Excess is an early 18th-century amatory novel by Eliza Haywood that explores intense passion, desire, and the complexities of romantic entanglements in Restoration-era high society.
  • 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: Mad Love
Triple: [Living in the USA, followedBy, Mad Love]
Generated description
Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mad Love
Target entity description: Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
  • A. Mad Love
    "Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
  • B. Mad Love
    "Mad Love" is a popular dancehall-pop song by Jamaican artist Sean Paul, known for its catchy hook and club-friendly production.
  • C. Strange Love
    Strange Love is a reality television series that follows the tumultuous romantic relationship between Brigitte Nielsen and rapper Flavor Flav.
  • D. Strange Love
    "Strange Love" is a soulful, introspective R&B track by American singer-songwriter Cautious Clay that showcases his smooth vocals and atmospheric production.
  • E. Love in Excess
    Love in Excess is an early 18th-century amatory novel by Eliza Haywood that explores intense passion, desire, and the complexities of romantic entanglements in Restoration-era high society.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d070c881908bed41aada6f85ae completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b25ac97881908751b466b370b7e5 completed April 4, 2026, 6:40 a.m.
NEDg Description generation batch_69d0b301659481909c1865884421fcde completed April 4, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69d0b38ae1ec8190b36019d3a642290d completed April 4, 2026, 6:45 a.m.
Created at: March 30, 2026, 7:36 p.m.