Triple
T17379439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home (2002 album) |
E422526
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object | I Believe in Love |
—
|
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: I Believe in Love | Statement: [Home (2002 album), containsSong, I Believe in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Believe in Love Context triple: [Home (2002 album), containsSong, I Believe in Love]
-
A.
I Believe in Love
chosen
"I Believe in Love" is a song featured on the album "Home."
-
B.
I Still Believe in Love
"I Still Believe in Love" is a song from the Broadway musical comedy "They're Playing Our Song," known for its heartfelt, optimistic reflection on enduring romantic faith.
-
C.
I Believe in You
"I Believe in You" is a track by Snoop Dogg from his 2002 studio album "Paid tha Cost to Be da Boss."
-
D.
I Believe in You
"I Believe in You" is a reflective, piano-driven song by Neil Young known for its introspective lyrics and gentle, melancholic tone.
-
E.
I Believe in You
"I Believe in You" is a popular song from the 1961 Broadway musical *How to Succeed in Business Without Really Trying*, composed by Frank Loesser.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a840cd08190af3385388afb8c8f |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.