Triple
T15417407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bible of Love |
E369277
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | I Wanna Thank Me |
E75397
|
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: I Wanna Thank Me | Statement: [Bible of Love, followedBy, I Wanna Thank Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wanna Thank Me Context triple: [Bible of Love, followedBy, I Wanna Thank Me]
-
A.
I Wanna Thank Me
chosen
"I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
-
B.
I Have You to Thank
"I Have You to Thank" is a song by American singer-songwriter Gavin DeGraw from his self-titled album.
-
C.
I Thank You
"I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
-
D.
Thank Me Now
Thank Me Now is a track from Drake’s debut studio album, Thank Me Later, showcasing his confident, introspective lyricism over a polished hip-hop production.
-
E.
This Is the Thanks I Get
"This Is the Thanks I Get" is an R&B song by American singer, songwriter, and producer Mario Winans.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.