Triple
T9133895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please, Please, Please |
E219154
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Johnny Terry |
E378354
|
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: Johnny Terry | Statement: [Please, Please, Please, writer, Johnny Terry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Terry Context triple: [Please, Please, Please, writer, Johnny Terry]
-
A.
Johnny Terry
chosen
Johnny Terry is a singer best known as a member of the influential R&B and soul vocal group The Drifters.
-
B.
Alex Taylor
Alex Taylor is a member of the Taylor family and the sibling of renowned singer-songwriter James Taylor.
-
C.
Colin Reese
Colin Reese is a scientist and academic best known for supervising the doctoral research of Nobel Prize–winning biologist John Sulston.
-
D.
Nelson Wilbury
Nelson Wilbury is a pseudonym used by George Harrison as a member of the Traveling Wilburys, the supergroup that recorded the song "Tweeter and the Monkey Man."
-
E.
Kenny Meadows
Kenny Meadows was a 19th-century British illustrator and caricaturist known for his work in books, magazines, and theatrical portraits.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8dccecc81908d8fc641c419ca6a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047efc5e48190bc8c4a7e865faef9 |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:18 p.m.