Triple
T2768489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George MacKay |
E61394
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Pride
Pride is a 2014 British historical comedy-drama film about LGBT activists supporting striking miners in 1980s Wales.
|
E297158
|
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: Pride | Statement: [George MacKay, notableWork, Pride]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pride Context triple: [George MacKay, notableWork, Pride]
-
A.
Pride
Pride is the former nickname of Hofstra University's NCAA Division I football team, which represented the school until the program was discontinued in 2009.
-
B.
Pride
Pride is the collective name for the varsity athletic teams representing Regis College in intercollegiate sports.
-
C.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
D.
Joy
Joy is the personified emotion of happiness and optimism in Pixar's animated film "Inside Out," guiding the young girl Riley through her childhood experiences.
-
E.
The Pride
The Pride is the energetic student cheering section for the University of Maryland Terrapins men's basketball team, known for creating a loud and intimidating home-court atmosphere.
- 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: Pride Triple: [George MacKay, notableWork, Pride]
Generated description
Pride is a 2014 British historical comedy-drama film about LGBT activists supporting striking miners in 1980s Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pride Target entity description: Pride is a 2014 British historical comedy-drama film about LGBT activists supporting striking miners in 1980s Wales.
-
A.
Pride
Pride is the former nickname of Hofstra University's NCAA Division I football team, which represented the school until the program was discontinued in 2009.
-
B.
Pride
Pride is the collective name for the varsity athletic teams representing Regis College in intercollegiate sports.
-
C.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
D.
Joy
Joy is the personified emotion of happiness and optimism in Pixar's animated film "Inside Out," guiding the young girl Riley through her childhood experiences.
-
E.
The Pride
The Pride is the energetic student cheering section for the University of Maryland Terrapins men's basketball team, known for creating a loud and intimidating home-court atmosphere.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6785d88190b99f99889463a962 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc04b59448190b51ce14f19bd3381 |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc0e092848190889e85f017a7832c |
completed | March 10, 2026, 6:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc159d0908190b4afe1a6b122076e |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 6, 2026, 9:57 p.m.