Triple
T16994845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Machine |
E412287
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object |
Happiness
Happiness is a positive emotional state characterized by feelings of joy, contentment, and overall life satisfaction.
|
E1246962
|
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: [Good Machine, produced, Happiness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happiness Context triple: [Good Machine, produced, 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.
Happiness
"Happiness" is an early indie-folk album by The Weepies that helped establish their gentle, melodic songwriting and intimate acoustic sound.
- 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: [Good Machine, produced, Happiness]
Generated description
Happiness is a positive emotional state characterized by feelings of joy, contentment, and overall life satisfaction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happiness Target entity description: Happiness is a positive emotional state characterized by feelings of joy, contentment, and overall life satisfaction.
-
A.
Happiness
"Happiness" is a poem by Carl Sandburg that reflects his characteristic free-verse style and focus on everyday American life and emotions.
-
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 an early indie-folk album by The Weepies that helped establish their gentle, melodic songwriting and intimate acoustic sound.
-
E.
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.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d285f35881908c32b2f27ba7f0ac |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b433e688190ac8dda10638a197f |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011cc1afc48190b83e3203407c1d7f |
completed | May 11, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011d67c82c8190b737406e8952eb2b |
completed | May 11, 2026, 12:05 a.m. |
Created at: April 10, 2026, 5:32 a.m.