Triple
T10099858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilf family |
E215970
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Leonard Wilf |
E841155
|
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: Leonard Wilf | Statement: [Wilf family, member, Leonard Wilf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonard Wilf Context triple: [Wilf family, member, Leonard Wilf]
-
A.
Leonard Wilf
chosen
Leonard Wilf is an American real estate developer and sports executive best known as a co-owner of the NFL’s Minnesota Vikings alongside his cousin Zygi Wilf.
-
B.
Leonard Stein
Leonard Stein was a British lawyer, Zionist leader, and historian best known for his authoritative work on the Balfour Declaration.
-
C.
Sheldon Resnick
Sheldon Resnick is an individual notable enough to be recognized as a bearer of the Resnick surname, though specific widely known public details about him are not readily available.
-
D.
Leonard Ornstein
Leonard Ornstein was a Dutch physicist known for his contributions to statistical mechanics and for co-developing the Ornstein–Uhlenbeck process in stochastic analysis.
-
E.
Robert Z. Leonard
Robert Z. Leonard was an American film director and producer best known for his work on lavish Hollywood musicals and dramas during the classic studio era.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd07d686481908d9bb91392954474 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbeef9a08190a2267f6c7de81170 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:02 p.m.