Triple
T543976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryse Alberti |
E12691
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object |
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.
|
E67875
|
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: [Maryse Alberti, workedOn, Happiness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happiness Context triple: [Maryse Alberti, workedOn, Happiness]
-
A.
Get Happy
"Get Happy" is a classic upbeat song closely associated with Judy Garland, celebrated for its joyful gospel-inflected style and iconic performance in the film "Summer Stock."
-
B.
Hope
Hope is the official motto of the former Colony of Rhode Island and Providence Plantations, reflecting the colony’s historical emphasis on religious freedom and optimism.
-
C.
Satisfaction
Satisfaction is a positive emotional state arising from the fulfillment of desires, needs, or expectations.
-
D.
LOVE
LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
-
E.
Valence
Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
- 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: [Maryse Alberti, workedOn, Happiness]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happiness Target entity description: 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.
-
A.
Get Happy
"Get Happy" is a classic upbeat song closely associated with Judy Garland, celebrated for its joyful gospel-inflected style and iconic performance in the film "Summer Stock."
-
B.
Hope
Hope is the official motto of the former Colony of Rhode Island and Providence Plantations, reflecting the colony’s historical emphasis on religious freedom and optimism.
-
C.
Satisfaction
Satisfaction is a positive emotional state arising from the fulfillment of desires, needs, or expectations.
-
D.
LOVE
LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
-
E.
Valence
Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dea88881908a938fe8f2313bec |
completed | March 1, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 |
completed | March 1, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69a4cdd043b881908795f61cbfa06bc8 |
completed | March 1, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4cf2e7b908190817cfcaf0490d6f7 |
completed | March 1, 2026, 11:43 p.m. |
Created at: March 1, 2026, 7:32 p.m.