Triple
T8675799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Came to Dance |
E205909
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Happy Ending |
E336702
|
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 Ending | Statement: [I Came to Dance, hasTrack, Happy Ending]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Ending Context triple: [I Came to Dance, hasTrack, Happy Ending]
-
A.
Happy End
Happy End is a 1929 satirical musical play with songs by Kurt Weill and lyrics by Bertolt Brecht, known for its blend of political commentary and cabaret-style music.
-
B.
The Happy Ending
The Happy Ending is a 1969 American drama film written and directed by Richard Brooks, starring Jean Simmons as a disillusioned housewife who abruptly leaves her comfortable suburban life in search of independence and self-discovery.
-
C.
"Happy Ending"
chosen
"Happy Ending" is a pop song by British singer-songwriter Mika, known for its emotive lyrics and soaring, melodic chorus.
-
D.
My Happy Ending
"My Happy Ending" is a 2004 pop-punk breakup anthem by Avril Lavigne, known for its emotional lyrics and powerful chorus.
-
E.
Happy Endings
Happy Endings is an American ensemble sitcom that follows a close-knit group of friends navigating relationships and adulthood in Chicago with fast-paced, joke-heavy humor.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f54dfc8190b7a61e7ed1cfcbeb |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.