Triple
T23561690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Still Believe in You |
E579255
|
entity |
| Predicate | hasKeyboardContribution |
P152795
|
FINISHED |
| Object | Rhett Lawrence |
—
|
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: Rhett Lawrence | Statement: [I Still Believe in You, hasKeyboardContribution, Rhett Lawrence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyboardContribution Context triple: [I Still Believe in You, hasKeyboardContribution, Rhett Lawrence]
-
A.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
B.
hasKeyboardRange
Indicates that one entity possesses or supports a specified span of keys or notes across a keyboard-based input or instrument.
-
C.
hasKeyboardCount
Indicates the number of keyboards associated with a given entity.
-
D.
supportsKeyboard
Indicates that one entity is compatible with or able to be operated using a keyboard as an input method.
-
E.
hasKeyEvent
Indicates that an entity includes, is associated with, or is characterized by a significant or defining event.
- F. None of above. chosen
Provenance (4 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:17 p.m.