Triple
T6025228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Gould |
E134158
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Anna Gould |
E151709
|
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: Anna Gould | Statement: [Howard Gould, hasRelative, Anna Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Gould Context triple: [Howard Gould, hasRelative, Anna Gould]
-
A.
Anna Gould
chosen
Anna Gould was an American heiress and socialite of the Gilded Age who became a prominent figure in European aristocracy through her marriages into French nobility.
-
B.
Emma Gillett
Emma Gillett was an American lawyer and pioneering advocate for women's legal education who co-founded what became the Washington College of Law.
-
C.
Letitia Green Stevenson
Letitia Green Stevenson was an American social leader and Second Lady of the United States during the vice presidency of her husband, Adlai E. Stevenson I, in the 1890s.
-
D.
Emily Hodgkin
Emily Hodgkin is a person notable enough to be recognized as a bearer of the Hodgkin surname.
-
E.
Elizabeth Griscom
Elizabeth Griscom, better known as Betsy Ross, was an American upholsterer and seamstress traditionally credited with sewing the first flag of the United States.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fc08c5c819085afab5b18bce4d1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11ce9ea008190bc9056ee1822fd0f |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:07 p.m.