Triple
T7842956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore N. Lerner |
E181847
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Mark D. Lerner |
E324846
|
NE FINISHED |
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: Mark D. Lerner | Statement: [Theodore N. Lerner, child, Mark D. Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark D. Lerner Context triple: [Theodore N. Lerner, child, Mark D. Lerner]
-
A.
Mark Lerner
chosen
Mark Lerner is an American businessman best known as a principal owner of the Washington Nationals Major League Baseball team and the son of real estate magnate Ted Lerner.
-
B.
Jeffrey Lerner
Jeffrey Lerner is a film and television producer known for his work as an executive producer on various projects, including the movie "Watch Over Me."
-
C.
Michael Levin
Michael Levin is a philosopher known for his work in epistemology, philosophy of race, and his controversial conservative views on social and political issues.
-
D.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
E.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163b32688190b463a9cd8fa3c690 |
completed | March 31, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccec40f5e88190bc0fbb4ad99d09c6 |
completed | April 1, 2026, 9:58 a.m. |
Created at: March 30, 2026, 4:48 p.m.