Triple
T15534129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Smith |
E370298
|
entity |
| Predicate | tutorOf |
P75840
|
FINISHED |
| Object | Sage Baker |
E1162374
|
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: Sage Baker | Statement: [Megan Smith, tutorOf, Sage Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sage Baker Context triple: [Megan Smith, tutorOf, Sage Baker]
-
A.
Sage Baker
chosen
Sage Baker is a character from the television series "Privileged," portrayed as a bright and ambitious young woman navigating the complexities of family, relationships, and personal growth.
-
B.
Sage Kotsenburg
Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
-
C.
Berkley Jensen
Berkley Jensen is a private-label brand offering a wide range of household, grocery, and everyday products sold exclusively at BJ's Wholesale Club.
-
D.
Thane Baker
Thane Baker was an American sprinter and Olympic medalist known for his achievements in the 100 m and 200 m events during the 1950s.
-
E.
Jody Baxter
Jody Baxter is the young boy protagonist of the classic American coming-of-age story "The Yearling," who forms a deep bond with an orphaned fawn in rural Florida.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff45549e4881908ab0769e49ba5dc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:06 a.m.