Triple

T5307270
Position Surface form Disambiguated ID Type / Status
Subject Hasbro E120132 entity
Predicate owns P347 FINISHED
Object Monopoly
Monopoly is a classic real-estate trading board game in which players buy, sell, and develop properties to bankrupt their opponents.
 E510996 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: Monopoly | Statement: [Hasbro, owns, Monopoly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monopoly
Context triple: [Hasbro, owns, Monopoly]
  • A. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • B. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • C. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • D. Solitaire
    Solitaire is a classic single-player card game that became widely known through its inclusion as a standard game on early Microsoft Windows operating systems.
  • E. Solitaire
    Solitaire is a fictional psychic tarot reader and Bond girl who appears as a key ally and love interest to James Bond in the novel and film "Live and Let Die."
  • 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: Monopoly
Triple: [Hasbro, owns, Monopoly]
Generated description
Monopoly is a classic real-estate trading board game in which players buy, sell, and develop properties to bankrupt their opponents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monopoly
Target entity description: Monopoly is a classic real-estate trading board game in which players buy, sell, and develop properties to bankrupt their opponents.
  • A. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • B. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • C. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • D. Solitaire
    Solitaire is a classic single-player card game that became widely known through its inclusion as a standard game on early Microsoft Windows operating systems.
  • E. Solitaire
    Solitaire is a fictional psychic tarot reader and Bond girl who appears as a key ally and love interest to James Bond in the novel and film "Live and Let Die."
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851ee8908190814b695723247016 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10fb59ac8190ad23ea4f77a8c0e7 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11cbcf4c819089369d00c2237f9c completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf1226ddd08190a39799fd0db58694 completed March 21, 2026, 9:48 p.m.
Created at: March 20, 2026, 1:53 p.m.