Triple
T13993498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 |
E336637
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Love 4 Fun |
E1072824
|
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: Love 4 Fun | Statement: [7, hasTrack, Love 4 Fun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love 4 Fun Context triple: [7, hasTrack, Love 4 Fun]
-
A.
Love 4 Fun
chosen
"Love 4 Fun" is a song featured on the album *Escape* by the Eurodance group E-Rotic.
-
B.
Love, Inc.
Love, Inc. is an American television sitcom that follows a group of dating consultants as they help clients find love while navigating their own romantic lives.
-
C.
Funny About Love
Funny About Love is a 1990 romantic comedy film starring Gene Wilder that explores the complications of love, marriage, and the desire to have children.
-
D.
Love Is a Funny Thing
"Love Is a Funny Thing" is a song featured on the album *Weather or Not* by rapper and producer Evidence.
-
E.
Sexy Love
"Sexy Love" is an R&B ballad by American singer Ne-Yo, known for its smooth melody and romantic lyrics, released as a single from his debut album "In My Own Words."
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.