Triple
T20273101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Options |
E502940
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Norman Cousins |
—
|
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: Norman Cousins | Statement: [Human Options, author, Norman Cousins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Cousins Context triple: [Human Options, author, Norman Cousins]
-
A.
Norman Cousins
chosen
Norman Cousins was an American political journalist, peace advocate, and author known for his influential writings on nuclear disarmament and the healing power of positive emotions.
-
B.
Jerome Chodorov
Jerome Chodorov was an American playwright and screenwriter best known for his work on Broadway musicals and comedies in the mid-20th century.
-
C.
Fred Kelsey
Fred Kelsey was an American character actor and director known for his prolific appearances in early 20th-century films, often playing policemen or comic supporting roles.
-
D.
Irwin Weil
Irwin Weil is an American scholar and professor emeritus known for his work in Russian and Slavic literature and culture.
-
E.
Herbert Edelman
Herbert Edelman was an American character actor best known for his Emmy-nominated role as Stan Zbornak on the television sitcom "The Golden Girls."
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675dff3c4819098ba45eba4e7b296 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:20 a.m.