Triple
T14807161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Odessa |
E348066
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Dana Sano
Dana Sano is a music professional best known for her work on the soundtrack of the film "Little Odessa."
|
E1120277
|
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: Dana Sano | Statement: [Little Odessa, musicBy, Dana Sano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Sano Context triple: [Little Odessa, musicBy, Dana Sano]
-
A.
Dana Dane
Dana Dane is an American rapper and storyteller known for his humorous narrative style and influential 1980s hip-hop tracks like "Cinderfella Dana Dane."
-
B.
Sol Yurick
Sol Yurick was an American novelist and social critic best known for his 1965 gang novel "The Warriors," which was later adapted into the cult classic film of the same name.
-
C.
Dana Lyon
Dana Lyon was a writer whose work served as the basis for the film "The House on Telegraph Hill."
-
D.
Danna
Danna is the surname of Mychael Danna, a Canadian composer renowned for his innovative and atmospheric film scores.
-
E.
Dana Natol
Dana Natol was an American literary agent and film producer best known as the wife and professional partner of James Bond film producer Albert R. "Cubby" Broccoli.
- 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: Dana Sano Triple: [Little Odessa, musicBy, Dana Sano]
Generated description
Dana Sano is a music professional best known for her work on the soundtrack of the film "Little Odessa."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dana Sano Target entity description: Dana Sano is a music professional best known for her work on the soundtrack of the film "Little Odessa."
-
A.
Dana Dane
Dana Dane is an American rapper and storyteller known for his humorous narrative style and influential 1980s hip-hop tracks like "Cinderfella Dana Dane."
-
B.
Sol Yurick
Sol Yurick was an American novelist and social critic best known for his 1965 gang novel "The Warriors," which was later adapted into the cult classic film of the same name.
-
C.
Dana Lyon
Dana Lyon was a writer whose work served as the basis for the film "The House on Telegraph Hill."
-
D.
Danna
Danna is the surname of Mychael Danna, a Canadian composer renowned for his innovative and atmospheric film scores.
-
E.
Dana Natol
Dana Natol was an American literary agent and film producer best known as the wife and professional partner of James Bond film producer Albert R. "Cubby" Broccoli.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe28222dc48190bca61ea273172950 |
completed | May 8, 2026, 6:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe28ba11a4819092e13669c53e6ecd |
completed | May 8, 2026, 6:17 p.m. |
Created at: April 10, 2026, 1:41 a.m.