Triple
T17482698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Cohan |
E425702
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Helen Marie Cohan |
—
|
NE NERFINISHED |
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: Helen Marie Cohan | Statement: [Helen Cohan, sibling, Helen Marie Cohan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Marie Cohan Context triple: [Helen Cohan, sibling, Helen Marie Cohan]
-
A.
Helen Cohan
chosen
Helen Cohan was an American actress and dancer, best known as the daughter of legendary entertainer George M. Cohan and for her appearances in early 20th-century stage and film productions.
-
B.
Georgette Cohan
Georgette Cohan was an American stage actress and the daughter of famed entertainer George M. Cohan.
-
C.
Nellie Cohan
Nellie Cohan was an American vaudeville performer and the mother of famed entertainer and songwriter George M. Cohan.
-
D.
Ruby Hammerstrom
Ruby Hammerstrom was the wife of famed American defense attorney Clarence Darrow, known primarily for her marriage to the prominent lawyer.
-
E.
Mary Cohan
Mary Cohan was an American Broadway composer and lyricist, best known for continuing the musical legacy of her father, George M. Cohan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451c0db14819098922453131fb40a |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.