Triple
T1046610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyer Lansky |
E22593
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anne Citron
Anne Citron was the wife of notorious American organized crime figure Meyer Lansky.
|
E211090
|
NE FINISHED |
How this triple was built (4 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: Anne Citron | Statement: [Meyer Lansky, spouse, Anne Citron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Citron Context triple: [Meyer Lansky, spouse, Anne Citron]
-
A.
Judith Kaye
Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
-
B.
Bonnie Sherr Klein
Bonnie Sherr Klein is a Canadian filmmaker, writer, and disability rights activist known for her influential documentaries and advocacy work.
-
C.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
D.
Debra Lerner Cohen
Debra Lerner Cohen is a member of the prominent Lerner family, known for its significant influence in American real estate and professional sports ownership.
-
E.
Esther Raab
Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anne Citron Triple: [Meyer Lansky, spouse, Anne Citron]
Generated description
Anne Citron was the wife of notorious American organized crime figure Meyer Lansky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Citron Target entity description: Anne Citron was the wife of notorious American organized crime figure Meyer Lansky.
-
A.
Judith Kaye
Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
-
B.
Bonnie Sherr Klein
Bonnie Sherr Klein is a Canadian filmmaker, writer, and disability rights activist known for her influential documentaries and advocacy work.
-
C.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
D.
Debra Lerner Cohen
Debra Lerner Cohen is a member of the prominent Lerner family, known for its significant influence in American real estate and professional sports ownership.
-
E.
Esther Raab
Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
- F. None of above. chosen
Provenance (5 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84d30888190b66f7245d781957d |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab2f888819093d2b3e49b105802 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb330fe0819096ac927838b6ee2f |
completed | March 8, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adebb1d7748190b5cd33d163368eae |
completed | March 8, 2026, 9:35 p.m. |
Created at: March 1, 2026, 7:42 p.m.