Triple
T14759413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Humes |
E346816
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Helen Humes |
E346816
|
NE FINISHED |
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 Humes | Statement: [Helen Humes, name, Helen Humes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Humes Context triple: [Helen Humes, name, Helen Humes]
-
A.
Helen Humes
chosen
Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
-
B.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
C.
Helen Davies
Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
-
D.
Helen Chappel
Helen Chappel is a central character on the sitcom "Wings," known as the sharp-tongued, ambitious airport lunch-counter worker and aspiring cellist.
-
E.
Helen Dawes
Helen Dawes is a key supporting character in the period drama film "Albert Nobbs," involved in the emotional and social complexities surrounding the title character's secret life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009181980481908fb49e464aef8734 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:30 a.m.