Triple
T21097441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layzie Bone |
E519803
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Wish Bone |
—
|
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: Wish Bone | Statement: [Layzie Bone, associatedAct, Wish Bone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wish Bone Context triple: [Layzie Bone, associatedAct, Wish Bone]
-
A.
Wish Bone
chosen
Wish Bone is an American rapper best known as a member of the Cleveland hip hop group Bone Thugs-n-Harmony.
-
B.
Wishbone
"Wishbone" is a song by the American indie rock band Dropbox, known for its melodic hooks and alternative rock sound.
-
C.
Wishbone
Wishbone is a poetry collection by American poet and editor Don Share, recognized for its sharp, emotionally resonant explorations of contemporary life.
-
D.
Wishbone
Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
-
E.
Two Bones
Two Bones is a hard bop jazz album led by trombonist Curtis Fuller, noted for its tight ensemble work and classic late-1950s Blue Note sound.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5a3a9481908e30fba9717dc461 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.