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.