Triple
T443226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bull Durham |
E10158
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Mount Company
Mount Company is a film production company best known for producing the 1988 baseball romantic comedy "Bull Durham."
|
E55592
|
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: Mount Company | Statement: [Bull Durham, productionCompany, Mount Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Company Context triple: [Bull Durham, productionCompany, Mount Company]
-
A.
John Company
John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
-
B.
Onex
Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
-
C.
Carrier Corporation
Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
-
D.
Bonbright and Company
Bonbright and Company was a prominent early 20th-century American investment banking firm known for its work in public utilities and infrastructure finance.
-
E.
Nordwind Airlines
Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
- 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: Mount Company Triple: [Bull Durham, productionCompany, Mount Company]
Generated description
Mount Company is a film production company best known for producing the 1988 baseball romantic comedy "Bull Durham."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Company Target entity description: Mount Company is a film production company best known for producing the 1988 baseball romantic comedy "Bull Durham."
-
A.
John Company
John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
-
B.
Onex
Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
-
C.
Carrier Corporation
Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
-
D.
Bonbright and Company
Bonbright and Company was a prominent early 20th-century American investment banking firm known for its work in public utilities and infrastructure finance.
-
E.
Nordwind Airlines
Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef43e8f88190a5d368add11a38c0 |
completed | Feb. 28, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e73555481909fc972eed3337945 |
completed | March 1, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69a43ef8ac148190a077d00090f5c9f0 |
completed | March 1, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a43f55507c8190b922f21d2b59e82d |
completed | March 1, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.