Triple
T11317801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Picon |
E268009
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mamele
Mamele is a classic 1938 Yiddish musical film starring Molly Picon as a devoted young woman juggling family responsibilities and her own desires in interwar Poland.
|
E918861
|
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: Mamele | Statement: [Molly Picon, notableWork, Mamele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamele Context triple: [Molly Picon, notableWork, Mamele]
-
A.
Mameyal
Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
-
B.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
-
C.
Mizzi Yehudi
Mizzi Yehudi is a specific variety of Jerusalem stone traditionally used in construction and architectural facades in and around Jerusalem.
-
D.
Mamaia
Mamaia is a major seaside resort on the Black Sea coast of Romania, known for its long sandy beaches, nightlife, and tourist facilities near the city of Constanța.
-
E.
Nechama
Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
- 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: Mamele Triple: [Molly Picon, notableWork, Mamele]
Generated description
Mamele is a classic 1938 Yiddish musical film starring Molly Picon as a devoted young woman juggling family responsibilities and her own desires in interwar Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamele Target entity description: Mamele is a classic 1938 Yiddish musical film starring Molly Picon as a devoted young woman juggling family responsibilities and her own desires in interwar Poland.
-
A.
Mameyal
Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
-
B.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
-
C.
Mizzi Yehudi
Mizzi Yehudi is a specific variety of Jerusalem stone traditionally used in construction and architectural facades in and around Jerusalem.
-
D.
Mamaia
Mamaia is a major seaside resort on the Black Sea coast of Romania, known for its long sandy beaches, nightlife, and tourist facilities near the city of Constanța.
-
E.
Nechama
Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525d3160c8190b58c5c04a66b3e3e |
completed | April 19, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69e52c81449c8190847b64fa91a45b2e |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531b079708190ac9e19127d36a848 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.