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.