Triple
T18813021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Lederer |
E460063
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Margo Lederer |
—
|
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: Margo Lederer | Statement: [Francis Lederer, spouse, Margo Lederer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margo Lederer Context triple: [Francis Lederer, spouse, Margo Lederer]
-
A.
Margo Lederer
chosen
Margo Lederer is an individual whose primary public identity is under the name Margo, with limited widely known biographical or professional information available.
-
B.
Margo Klewans
Margo Klewans is a film producer best known for her work on the comedy-drama movie "The Great Buck Howard."
-
C.
Edie Wasserman
Edie Wasserman was a prominent Hollywood philanthropist and influential figure in the entertainment community, known for her extensive charitable work and social leadership.
-
D.
Margo Albert
Margo Albert is an individual whose primary public reference is by the name Margo Albert, though further widely known biographical or professional details are not clearly established.
-
E.
Marla Frumkin
Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3de2f6881908a9da4d5abd7ee61 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.