Triple
T14044486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Weepies |
E337921
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Happiness
"Happiness" is an early indie-folk album by The Weepies that helped establish their gentle, melodic songwriting and intimate acoustic sound.
|
E1076568
|
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: Happiness | Statement: [The Weepies, notableWork, Happiness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happiness Context triple: [The Weepies, notableWork, Happiness]
-
A.
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.
-
B.
Happiness
"Happiness" is a notable creative work by Pizzaman, best known as an upbeat, dance-oriented track from the mid-1990s electronic music scene.
-
C.
Happiness
"Happiness" is a 1998 dark comedy-drama film written and directed by Todd Solondz that explores the intertwined lives of several deeply troubled suburban characters.
-
D.
Happiness
"Happiness" is a 1995 self-help and inspirational book by Marla Maples reflecting on personal growth, spirituality, and finding joy in life.
-
E.
Joy
Joy is a given name used for people of any gender, derived from the English word expressing happiness and delight.
- 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: Happiness Triple: [The Weepies, notableWork, Happiness]
Generated description
"Happiness" is an early indie-folk album by The Weepies that helped establish their gentle, melodic songwriting and intimate acoustic sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happiness Target entity description: "Happiness" is an early indie-folk album by The Weepies that helped establish their gentle, melodic songwriting and intimate acoustic sound.
-
A.
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.
-
B.
Happiness
"Happiness" is a 1995 self-help and inspirational book by Marla Maples reflecting on personal growth, spirituality, and finding joy in life.
-
C.
Happiness
"Happiness" is a notable creative work by Pizzaman, best known as an upbeat, dance-oriented track from the mid-1990s electronic music scene.
-
D.
Happiness
"Happiness" is a 1998 dark comedy-drama film written and directed by Todd Solondz that explores the intertwined lives of several deeply troubled suburban characters.
-
E.
Joy
Joy is a given name used for people of any gender, derived from the English word expressing happiness and delight.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc4300948881908784c5ad99188ad2 |
completed | May 7, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.