Triple
T5780339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Gould |
E127539
|
entity |
| Predicate | notableChild |
P367
|
FINISHED |
| Object | Helen Gould |
E248159
|
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 Gould | Statement: [Jay Gould, notableChild, Helen Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Gould Context triple: [Jay Gould, notableChild, Helen Gould]
-
A.
Helen Gould
chosen
Helen Gould was a prominent American philanthropist and daughter of railroad magnate Jay Gould, known for her extensive charitable work in the late 19th and early 20th centuries.
-
B.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
C.
Helen Hughes
Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
-
D.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
E.
Helen Marshall
Helen Marshall is a British academic leader and higher education administrator who has served as Vice-Chancellor of the University of Salford.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e3f88c8190975921ff2912e543 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9251db3388190b8b0ac7549647887 |
completed | March 29, 2026, 1:11 p.m. |
Created at: March 22, 2026, 3:50 p.m.