Triple
T17578661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen High School |
E428138
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Maurkice Pouncey |
—
|
NE NERFINISHED |
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: Maurkice Pouncey | Statement: [Kathleen High School, hasNotableAlumnus, Maurkice Pouncey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurkice Pouncey Context triple: [Kathleen High School, hasNotableAlumnus, Maurkice Pouncey]
-
A.
Maurkice Pouncey
chosen
Maurkice Pouncey is a former NFL center best known for his Pro Bowl and All-Pro career anchoring the Pittsburgh Steelers’ offensive line.
-
B.
Troy Polamalu
Troy Polamalu is a Hall of Fame former NFL safety best known for his dynamic playmaking with the Pittsburgh Steelers and his distinctive long hair.
-
C.
Kennedy Polamalu
Kennedy Polamalu is an American football coach and former player best known for his work as a running backs coach at the collegiate and NFL levels.
-
D.
Joe Thomas
Joe Thomas is a film producer known for his work on the biographical drama "The Man Who Knew Infinity."
-
E.
Joe Thomas
Joe Thomas is a British actor and comedian best known for playing Simon Cooper in the sitcom "The Inbetweeners" and its film adaptations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463cb40088190b726f2c026358cf2 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.