Triple
T1864724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Say Never |
E34893
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Happy
"Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
|
E208268
|
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: Happy | Statement: [Never Say Never, hasPart, Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Context triple: [Never Say Never, hasPart, Happy]
-
A.
Happy
Happy was the nickname of Albert Benjamin "Happy" Chandler, an American politician who served as Governor of Kentucky, U.S. Senator, and the second Commissioner of Major League Baseball.
-
B.
Happiness
Happiness is a 2013 American documentary film directed by Thomas Balmès that follows a young Bhutanese monk experiencing modern technology and urban life for the first time.
-
C.
Happiness
"Happiness" is a 1995 self-help and inspirational book by Marla Maples reflecting on personal growth, spirituality, and finding joy in life.
-
D.
Šťastný
Šťastný is a Slovak surname most famously associated with the Hall of Fame ice hockey player Peter Šťastný and his athletic family.
-
E.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
- 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: Happy Triple: [Never Say Never, hasPart, Happy]
Generated description
"Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happy Target entity description: "Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
-
A.
Happy
Happy was the nickname of Albert Benjamin "Happy" Chandler, an American politician who served as Governor of Kentucky, U.S. Senator, and the second Commissioner of Major League Baseball.
-
B.
Happiness
Happiness is a 2013 American documentary film directed by Thomas Balmès that follows a young Bhutanese monk experiencing modern technology and urban life for the first time.
-
C.
Happiness
"Happiness" is a 1995 self-help and inspirational book by Marla Maples reflecting on personal growth, spirituality, and finding joy in life.
-
D.
Šťastný
Šťastný is a Slovak surname most famously associated with the Hall of Fame ice hockey player Peter Šťastný and his athletic family.
-
E.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d540c0819099558507bdf2ffa4 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add2c4943c81909ff3163330aa4f80 |
completed | March 8, 2026, 7:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add38c2b3c8190b0f33bc36d475a63 |
completed | March 8, 2026, 7:52 p.m. |
Created at: March 4, 2026, 7:34 p.m.