Triple
T8868800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyer Lansky |
E211091
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Thelma Schwartz |
E211091
|
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: Thelma Schwartz | Statement: [Meyer Lansky, spouse, Thelma Schwartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thelma Schwartz Context triple: [Meyer Lansky, spouse, Thelma Schwartz]
-
A.
Thelma Schwartz
chosen
Thelma Schwartz was the wife of notorious American organized crime figure Meyer Lansky.
-
B.
Thelma Strabel
Thelma Strabel was an American novelist best known for writing the adventure-romance story that became the basis for the film "Reap the Wild Wind."
-
C.
Marion Rothman
Marion Rothman was an American film editor known for her work on notable films of the 1960s and 1970s, including the crime thriller "The Boston Strangler."
-
D.
Trudy Adler
Trudy Adler was the wife of Austrian-American actor Joseph Schildkraut, known for her marriage to the prominent stage and film performer.
-
E.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61241d048190aead14a8f5589856 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047408b20819084d0b9b831f0f2c0 |
completed | April 3, 2026, 11:03 p.m. |
Created at: March 30, 2026, 6:51 p.m.