Triple
T19225333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Jamail |
E480723
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lee Jamail |
—
|
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: Lee Jamail | Statement: [Lee Jamail, name, Lee Jamail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Jamail Context triple: [Lee Jamail, name, Lee Jamail]
-
A.
Lee Jamail
chosen
Lee Jamail is a benefactor and namesake of the Lee and Joe Jamail Texas Swimming Center at the University of Texas.
-
B.
Joe Jamail
Joe Jamail was a prominent American trial lawyer and billionaire philanthropist from Texas, often called the “King of Torts” for his record-setting courtroom victories.
-
C.
Jamil Walker
Jamil Walker is an American soccer forward best known for his time in Major League Soccer, particularly with the San Jose Earthquakes.
-
D.
Jamil Al-Amin
Jamil Al-Amin, formerly known as H. Rap Brown, is a prominent 1960s Black Power activist and former chairman of the Student Nonviolent Coordinating Committee who later became a Muslim religious leader.
-
E.
Mackenzie Aladjem
Mackenzie Aladjem is an American actress best known for her role as Fiona Peyton on the television series "Nurse Jackie."
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa97287c8190b85184a512a9c960 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:24 p.m.