Triple
T20061602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Halfin |
E499487
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Lilian Nahmias |
—
|
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: Lilian Nahmias | Statement: [Leon Halfin, hasRelative, Lilian Nahmias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilian Nahmias Context triple: [Leon Halfin, hasRelative, Lilian Nahmias]
-
A.
Lilian Nahmias
chosen
Lilian Nahmias was the mother of fashion designer Diane von Fürstenberg and a Holocaust survivor whose experiences profoundly influenced her daughter's life and outlook.
-
B.
Lillian M. Jacobs
Lillian M. Jacobs was an individual significant enough to her community—likely as an educator, civic leader, or benefactor—that an elementary school was named in her honor.
-
C.
Ruth Weinstein
Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
-
D.
Leonore Cohn
Leonore Cohn, later known as Leonore Annenberg, was an American philanthropist and arts patron who served as Chief of Protocol of the United States under President Ronald Reagan.
-
E.
Beatrice Levin
Beatrice Levin is a film producer known for her work on the legal drama thriller "The Mauritanian."
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.