Triple
T18508280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Price |
E452257
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Happyish |
—
|
NE NERFINISHED |
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: Happyish | Statement: [Molly Price, appearedIn, Happyish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happyish Context triple: [Molly Price, appearedIn, Happyish]
-
A.
Happyish
chosen
Happyish is a dark comedy-drama television series that satirizes modern advertising, middle age, and the pursuit of happiness.
-
B.
Happy
Happy is the nickname of Happy Felsch, an early 20th-century American Major League Baseball outfielder best known for his role in the 1919 Chicago White Sox "Black Sox" scandal.
-
C.
Happy
"Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
-
D.
Happy
"Happy" is a globally popular, upbeat pop-soul song by Pharrell Williams known for its infectious melody and feel-good message.
-
E.
Happy
"Happy" is a 1972 rock song by The Rolling Stones, sung by Keith Richards and known for its raw, upbeat energy and prominent place in their live performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344033c8190a0883aef56ba79c3 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.