Triple
T12862560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan Baker |
E307629
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Happiness |
E604189
|
NE FINISHED |
How this triple was built (2 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: [Dylan Baker, notableWork, Happiness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happiness Context triple: [Dylan Baker, notableWork, Happiness]
-
A.
Happiness
chosen
"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.
-
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.
Happiness
"Happiness" is a notable creative work by Pizzaman, best known as an upbeat, dance-oriented track from the mid-1990s electronic music scene.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708ba74881909b16c1e2ef5115db |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bade6ec81908e3123b96837f104 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:37 p.m.