Triple
T22348069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Fetter |
E552448
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Fetter |
—
|
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: Jean Fetter | Statement: [Jean Fetter, name, Jean Fetter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Fetter Context triple: [Jean Fetter, name, Jean Fetter]
-
A.
Jean Fetter
chosen
Jean Fetter is a British-born American psychologist and former dean of admissions at Stanford University, known for her work in higher education and advocacy for women in science and academia.
-
B.
William Froug
William Froug was an American television producer, writer, and educator best known for his work on classic series such as The Twilight Zone.
-
C.
Eric Fawcett
Eric Fawcett is a musician best known as a member of the American alternative rock band Spymob.
-
D.
Douglas Furber
Douglas Furber was a British lyricist and playwright best known for his work in musical theatre during the early to mid-20th century.
-
E.
Thomas Faryner
Thomas Faryner was a 17th-century London baker historically associated with the bakery where the Great Fire of London in 1666 is believed to have started.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157995bec819080b8d05fa88704ed |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.