Triple

T2542463
Position Surface form Disambiguated ID Type / Status
Subject Michael Convertino E57814 entity
Predicate notableWork P4 FINISHED
Object Milk Money
Milk Money is a 1994 romantic comedy film about a young boy who tries to set up his widowed father with a kind-hearted sex worker he meets in the city.
 E277605 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: Milk Money | Statement: [Michael Convertino, notableWork, Milk Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milk Money
Context triple: [Michael Convertino, notableWork, Milk Money]
  • A. Blue Milk
    Blue Milk is a famous Star Wars-themed, plant-based frozen drink served at Disney’s Galaxy’s Edge that recreates the iconic blue bantha milk seen in the films.
  • B. Milkshake
    "Milkshake" is a 2003 R&B song by American singer Kelis, best known for its catchy hook and enduring pop-culture presence.
  • C. Mad Cows
    Mad Cows is a 1999 British comedy film about a chaotic series of misadventures involving a young mother entangled in crime and bureaucracy.
  • D. Milch
    Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
  • E. Milk
    Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
  • 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: Milk Money
Triple: [Michael Convertino, notableWork, Milk Money]
Generated description
Milk Money is a 1994 romantic comedy film about a young boy who tries to set up his widowed father with a kind-hearted sex worker he meets in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Milk Money
Target entity description: Milk Money is a 1994 romantic comedy film about a young boy who tries to set up his widowed father with a kind-hearted sex worker he meets in the city.
  • A. Blue Milk
    Blue Milk is a famous Star Wars-themed, plant-based frozen drink served at Disney’s Galaxy’s Edge that recreates the iconic blue bantha milk seen in the films.
  • B. Milkshake
    "Milkshake" is a 2003 R&B song by American singer Kelis, best known for its catchy hook and enduring pop-culture presence.
  • C. Mad Cows
    Mad Cows is a 1999 British comedy film about a chaotic series of misadventures involving a young mother entangled in crime and bureaucracy.
  • D. Milch
    Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
  • E. Milk
    Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d046430819095605b8a8fd987d5 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5f4be20c8190a0da1a25c7b097b8 completed March 10, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69af5fe06e6881908e0b11f3101cb0f0 completed March 10, 2026, 12:03 a.m.
Created at: March 6, 2026, 9:47 p.m.