Triple
T13969335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Paige |
E336012
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Jennifer Paige |
E1074658
|
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: Jennifer Paige | Statement: [Jennifer Paige, stageName, Jennifer Paige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Paige Context triple: [Jennifer Paige, stageName, Jennifer Paige]
-
A.
Jennifer Paige
Jennifer Paige is an American pop singer best known for her 1998 hit single "Crush."
-
B.
Britt McKillip
Britt McKillip is a Canadian actress and voice actress known for her roles in animation and television, including voicing characters in popular children’s series.
-
C.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
D.
Kate Healey
Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
-
E.
Jennifer Paige Scoggins
chosen
Jennifer Paige Scoggins, known professionally as Jennifer Paige, is an American pop singer best known for her late-1990s hit single "Crush."
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8daeac8190aadd4b3b60222482 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc323d8ac81909b4eaf44f8fd462c |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.