Triple

T13780368
Position Surface form Disambiguated ID Type / Status
Subject Seagram Company Ltd. E331115 entity
Predicate owned P347 FINISHED
Object MCA Inc.
MCA Inc. was a major American entertainment company best known as a powerful talent agency and later as the parent of Universal Studios.
E1062603 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: MCA Inc. | Statement: [Seagram Company Ltd., owned, MCA Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCA Inc.
Context triple: [Seagram Company Ltd., owned, MCA Inc.]
  • A. MCI Inc.
    MCI Inc. was a major American telecommunications company and long-distance service provider that played a key role in breaking AT&T’s monopoly before eventually being acquired by Verizon.
  • B. Macauley Company
    Macauley Company was an American publishing house active in the early 20th century, known for issuing works of fiction and literature.
  • C. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • D. MCA
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • E. MCA
    MCA is a postgraduate professional degree in computer applications that focuses on advanced software development, programming, and IT skills.
  • 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: MCA Inc.
Triple: [Seagram Company Ltd., owned, MCA Inc.]
Generated description
MCA Inc. was a major American entertainment company best known as a powerful talent agency and later as the parent of Universal Studios.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCA Inc.
Target entity description: MCA Inc. was a major American entertainment company best known as a powerful talent agency and later as the parent of Universal Studios.
  • A. MCI Inc.
    MCI Inc. was a major American telecommunications company and long-distance service provider that played a key role in breaking AT&T’s monopoly before eventually being acquired by Verizon.
  • B. Macauley Company
    Macauley Company was an American publishing house active in the early 20th century, known for issuing works of fiction and literature.
  • C. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • D. MCA
    MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
  • E. MCA
    MCA is a postgraduate professional degree in computer applications that focuses on advanced software development, programming, and IT skills.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b079013881908e9f5412e5dfb0b2 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b1d9f0b481909752dca3f74a2211 completed May 3, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_69f7b32db8808190a3dcdd0fe2ce368f completed May 3, 2026, 8:42 p.m.
Created at: April 9, 2026, 10:11 p.m.