Triple
T2474936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sammy Cahn |
E55064
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Laurie Cahn
Laurie Cahn is a child of the famed American songwriter and lyricist Sammy Cahn.
|
E270891
|
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: Laurie Cahn | Statement: [Sammy Cahn, child, Laurie Cahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Cahn Context triple: [Sammy Cahn, child, Laurie Cahn]
-
A.
Sue Selig
Sue Selig is the wife of former Major League Baseball commissioner Bud Selig and is known for her involvement in charitable and community activities.
-
B.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
C.
Betsy Gotbaum
Betsy Gotbaum is an American public official and politician who served as New York City's Public Advocate in the early 2000s, acting as a citywide watchdog and ombudsman.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Melissa Corken
Melissa Corken is a music industry figure best known as the founder of the World Music Awards, an international awards show recognizing global recording artists.
- 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: Laurie Cahn Triple: [Sammy Cahn, child, Laurie Cahn]
Generated description
Laurie Cahn is a child of the famed American songwriter and lyricist Sammy Cahn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurie Cahn Target entity description: Laurie Cahn is a child of the famed American songwriter and lyricist Sammy Cahn.
-
A.
Sue Selig
Sue Selig is the wife of former Major League Baseball commissioner Bud Selig and is known for her involvement in charitable and community activities.
-
B.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
C.
Betsy Gotbaum
Betsy Gotbaum is an American public official and politician who served as New York City's Public Advocate in the early 2000s, acting as a citywide watchdog and ombudsman.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Melissa Corken
Melissa Corken is a music industry figure best known as the founder of the World Music Awards, an international awards show recognizing global recording artists.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd14b725c81908256c4d3bb6c5173 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17a8d87c819084637958a5dc4028 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1b3bb8908190a48c6190f9f9a488 |
completed | March 9, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c404d248190b4444eaed46e63da |
completed | March 9, 2026, 7:15 p.m. |
Created at: March 6, 2026, 9:45 p.m.