Triple
T19553563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Trail |
E489251
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Usher |
—
|
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: Usher | Statement: [Paper Trail, featuresArtist, Usher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usher Context triple: [Paper Trail, featuresArtist, Usher]
-
A.
Usher
chosen
Usher is an American R&B singer, songwriter, dancer, and actor known for his smooth vocals, dynamic performances, and multi-platinum albums such as "Confessions."
-
B.
Gentleman Usher
A Gentleman Usher is a ceremonial officer of the British Royal Household responsible for assisting at state occasions and formal royal events.
-
C.
Dave Usher
Dave Usher is a jazz record producer best known for his work on classic live recordings such as "At the Pershing: But Not for Me."
-
D.
Usher II
Usher II is a short story by Ray Bradbury, set on Mars, that satirizes censorship and pays homage to Edgar Allan Poe within the larger collection The Martian Chronicles.
-
E.
Jessie T. Usher
Jessie T. Usher is an American actor best known for his roles in the TV series "Survivor's Remorse" and the superhero satire "The Boys."
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.