Triple
T16439966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Michelle |
E399271
|
entity |
| Predicate | hasSubject |
P450
|
FINISHED |
| Object |
Michelle Young
Michelle Young is a reality television personality best known as the lead on season 18 of "The Bachelorette" and as a former contestant on "The Bachelor."
|
E1223722
|
NE FINISHED |
How this triple was built (4 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: Michelle Young | Statement: [My Michelle, hasSubject, Michelle Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Young Context triple: [My Michelle, hasSubject, Michelle Young]
-
A.
Susan Young
Susan Young is the daughter of the fictional comedian Buddy Young Jr. from the film "Mr. Saturday Night."
-
B.
Nicole Young
Nicole Young is an American attorney best known as the longtime former wife of hip-hop producer and entrepreneur Dr. Dre.
-
C.
Genevieve Young
Genevieve Young was a prominent American book editor and literary figure, known for her influential work in publishing and her marriage to photographer and filmmaker Gordon Parks.
-
D.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
E.
Lisa O'Brien
Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michelle Young Triple: [My Michelle, hasSubject, Michelle Young]
Generated description
Michelle Young is a reality television personality best known as the lead on season 18 of "The Bachelorette" and as a former contestant on "The Bachelor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Young Target entity description: Michelle Young is a reality television personality best known as the lead on season 18 of "The Bachelorette" and as a former contestant on "The Bachelor."
-
A.
Susan Young
Susan Young is the daughter of the fictional comedian Buddy Young Jr. from the film "Mr. Saturday Night."
-
B.
Nicole Young
Nicole Young is an American attorney best known as the longtime former wife of hip-hop producer and entrepreneur Dr. Dre.
-
C.
Genevieve Young
Genevieve Young was a prominent American book editor and literary figure, known for her influential work in publishing and her marriage to photographer and filmmaker Gordon Parks.
-
D.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
E.
Lisa O'Brien
Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
- F. None of above. chosen
Provenance (5 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba720a48190b0b412225e993e52 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d9c8de4819093ae3901cf0c8805 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:10 a.m.