Triple
T10033695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Young |
E204911
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Jon Steven Young
Jon Steven Young is a Hall of Fame former NFL quarterback best known for his prolific career with the San Francisco 49ers and multiple Super Bowl victories.
|
E839204
|
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: Jon Steven Young | Statement: [Steve Young, fullName, Jon Steven Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Steven Young Context triple: [Steve Young, fullName, Jon Steven Young]
-
A.
Joe Young
Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
-
B.
Joe Young
Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
-
C.
Brian Young
Brian Young is a musician best known as a member of the American alternative rock band The Walkabouts.
-
D.
Samuel Young
Samuel Young was a 19th-century New York politician and reformer who played a significant role in the development and administration of the state's canal system.
-
E.
Shaun Terence Young
Shaun Terence Young was a British film director best known for directing early James Bond films such as "Dr. No," "From Russia with Love," and "Thunderball."
- 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: Jon Steven Young Triple: [Steve Young, fullName, Jon Steven Young]
Generated description
Jon Steven Young is a Hall of Fame former NFL quarterback best known for his prolific career with the San Francisco 49ers and multiple Super Bowl victories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Steven Young Target entity description: Jon Steven Young is a Hall of Fame former NFL quarterback best known for his prolific career with the San Francisco 49ers and multiple Super Bowl victories.
-
A.
Joe Young
Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
-
B.
Joe Young
Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
-
C.
Brian Young
Brian Young is a musician best known as a member of the American alternative rock band The Walkabouts.
-
D.
Samuel Young
Samuel Young was a 19th-century New York politician and reformer who played a significant role in the development and administration of the state's canal system.
-
E.
Shaun Terence Young
Shaun Terence Young was a British film director best known for directing early James Bond films such as "Dr. No," "From Russia with Love," and "Thunderball."
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce490ff08190963d841b05d150a7 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a225e0c8190b87eb646cefa6a33 |
completed | April 5, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69d29e2d4c7c81909813ed07e4514d4b |
completed | April 5, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29e94a7808190ad2ee034dd9f2499 |
completed | April 5, 2026, 5:40 p.m. |
Created at: March 30, 2026, 8:54 p.m.