Triple
T5097608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Hawks |
E114904
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nancy Gross |
E230075
|
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: Nancy Gross | Statement: [Howard Hawks, spouse, Nancy Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Gross Context triple: [Howard Hawks, spouse, Nancy Gross]
-
A.
Nancy Gross
chosen
Nancy Gross was the wife of renowned American film director Howard Hawks.
-
B.
Nancy Kruse
Nancy Kruse is a writer known for her work on the story of the animated film "Encanto."
-
C.
Nancy Goodman
Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
-
D.
Nancy Schafer
Nancy Schafer is a film and television producer known for her work on independent and documentary projects.
-
E.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75669afc81908a8db897fe56eccd |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9379e5898819083bece0d129fed5c |
completed | March 29, 2026, 2:30 p.m. |
Created at: March 20, 2026, 1:40 p.m.