Triple
T10715819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genio Atrapado |
E252663
|
entity |
| Predicate | composerOfOriginal |
P47024
|
FINISHED |
| Object | Pam Sheyne |
E469569
|
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: Pam Sheyne | Statement: [Genio Atrapado, composerOfOriginal, Pam Sheyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Sheyne Context triple: [Genio Atrapado, composerOfOriginal, Pam Sheyne]
-
A.
Pam Sheyne
chosen
Pam Sheyne is a British songwriter and producer best known for co-writing Christina Aguilera’s hit single "Genie in a Bottle."
-
B.
Pam Ferris
Pam Ferris is a British actress known for her character roles in film and television, including memorable performances in "Matilda," "Call the Midwife," and "Harry Potter and the Prisoner of Azkaban."
-
C.
Pamela Vaccaro
Pamela Vaccaro is known as the wife of influential American sports marketing executive Sonny Vaccaro.
-
D.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
E.
Diane Cory
Diane Cory is known as a former spouse of Rolling Stones bassist Bill Wyman.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3320448190899c56b02a7f5ffa |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58a8c67248190be284ddd84f9d8b8 |
completed | April 20, 2026, 2:08 a.m. |
Created at: April 8, 2026, 9:13 p.m.