Triple
T5882912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boys and Girls High School |
E130791
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Mark Breland
Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
|
E558970
|
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: Mark Breland | Statement: [Boys and Girls High School, hasAlumnus, Mark Breland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Breland Context triple: [Boys and Girls High School, hasAlumnus, Mark Breland]
-
A.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
B.
Josh Sitton
Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
C.
Collin McKinney
Collin McKinney was an early Texas settler and statesman who helped draft and signed the Texas Declaration of Independence.
-
D.
Emile Haynie
Emile Haynie is a Grammy-winning American record producer known for his work with artists such as Kanye West, Lana Del Rey, and Eminem.
-
E.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
- 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: Mark Breland Triple: [Boys and Girls High School, hasAlumnus, Mark Breland]
Generated description
Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Breland Target entity description: Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
-
A.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
B.
Josh Sitton
Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
C.
Collin McKinney
Collin McKinney was an early Texas settler and statesman who helped draft and signed the Texas Declaration of Independence.
-
D.
Emile Haynie
Emile Haynie is a Grammy-winning American record producer known for his work with artists such as Kanye West, Lana Del Rey, and Eminem.
-
E.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03675747c81908936405c27c2719b |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e37f8e348190a992609b71ce0f80 |
completed | March 23, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_69c0ebfa3a9c81908a183f995350366b |
completed | March 23, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0ec61672c8190b98cead75cac84d5 |
completed | March 23, 2026, 7:31 a.m. |
Created at: March 22, 2026, 3:57 p.m.