Triple
T2461793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Despicable Me |
E54548
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Happy |
E208268
|
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: Happy | Statement: [Despicable Me, notableSong, Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Context triple: [Despicable Me, notableSong, Happy]
-
A.
Happy
chosen
"Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
-
B.
Happy
"Happy" is a globally popular, upbeat pop-soul song by Pharrell Williams known for its infectious melody and feel-good message.
-
C.
Happy
Happy was the nickname of Albert Benjamin "Happy" Chandler, an American politician who served as Governor of Kentucky, U.S. Senator, and the second Commissioner of Major League Baseball.
-
D.
Feliz
Feliz is a given name and variant of Felix, used in various cultures and languages.
-
E.
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.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d2b2748190b12611863d8bf4ad |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.