Triple
T3616496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra Lerner Cohen |
E76612
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Debra Lerner |
E76612
|
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: Debra Lerner | Statement: [Debra Lerner Cohen, givenName, Debra Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Lerner Context triple: [Debra Lerner Cohen, givenName, Debra Lerner]
-
A.
Debra Lerner Cohen
chosen
Debra Lerner Cohen is a member of the prominent Lerner family, known for its significant influence in American real estate and professional sports ownership.
-
B.
Annette Lerner
Annette Lerner is a Washington, D.C.–area philanthropist and matriarch of the Lerner family, known for their real estate empire and former ownership of the Washington Nationals baseball team.
-
C.
Nancy Lieberman
Nancy Lieberman is a pioneering American basketball player and coach, widely regarded as one of the greatest figures in women's basketball history and a trailblazer for women in the sport.
-
D.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
E.
Gail Berman
Gail Berman is an American television and film producer and media executive known for her influential roles at major studios and for producing high-profile projects across network TV and Hollywood.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27c98088190a493c9eddf6b206a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda3f5a8a88190a494a9338c01962a |
completed | March 20, 2026, 7:45 p.m. |
Created at: March 8, 2026, 3:23 p.m.