Triple
T6455548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funeral |
E141984
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Do It |
E186403
|
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 Do It | Statement: [Funeral, hasPart, I Do It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Do It Context triple: [Funeral, hasPart, I Do It]
-
A.
I Do It
chosen
"I Do It" is a hip-hop track by Big Sean featuring Lil Wayne and Jhené Aiko from his debut studio album "Finally Famous."
-
B.
Doin' It
"Doin' It" is a mid-1990s hip hop single by LL Cool J known for its smooth, sensual vibe and catchy chorus.
-
C.
Let’s Do It
"Let’s Do It" is a track by Lil Wayne featured on his acclaimed 2009 mixtape *No Ceilings*.
-
D.
I Do
"I Do" is a music album by Canadian actress and singer Jill Hennessy, showcasing her blend of folk, rock, and country influences.
-
E.
Do I Do
"Do I Do" is a 1982 upbeat R&B and funk song by Stevie Wonder, known for its extended groove, jazz-influenced arrangement, and a prominent trumpet solo by Dizzy Gillespie.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d4d588819090e8a56c46c0bfe9 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bdc4e808190a7c24b963ab0aa30 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:48 p.m.