Triple
T21328378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Fonda |
E525824
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Susan Blanchard |
—
|
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: Susan Blanchard | Statement: [Henry Fonda, spouse, Susan Blanchard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Blanchard Context triple: [Henry Fonda, spouse, Susan Blanchard]
-
A.
Susan Blanchard
chosen
Susan Blanchard is an American socialite and former Broadway production assistant best known as the third wife of actor Henry Fonda.
-
B.
Rachel Blanchard
Rachel Blanchard is a Canadian actress known for her roles in film and television, including the series "Clueless" and various comedy and drama projects.
-
C.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
D.
Sisson Blanchard
Sisson Blanchard is a Haitian naïve painter known for his vibrant, folkloric scenes that reflect rural life and cultural traditions in Haiti.
-
E.
Susan Borman
Susan Borman was the wife of Apollo 8 astronaut Frank Borman and a prominent figure among the early NASA astronaut wives, known for her role in supporting her husband’s career and coping with the stresses of the space program.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4e88848190b6efe85a4c8cd85a |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.