Triple
T15960151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Friendly |
E387035
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ruth Friendly
Ruth Friendly was the wife of pioneering American broadcast journalist Fred Friendly and was known for her involvement in media and public affairs circles.
|
E1186250
|
NE FINISHED |
How this triple was built (4 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: Ruth Friendly | Statement: [Fred Friendly, spouse, Ruth Friendly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Friendly Context triple: [Fred Friendly, spouse, Ruth Friendly]
-
A.
Harriet Zuckerman
Harriet Zuckerman is an American sociologist known for her influential work on the scientific community, including studies of Nobel laureates and the sociology of science.
-
B.
Ruby R. Levitt
Ruby R. Levitt was a Hollywood set decorator known for her work on mid-20th-century American films.
-
C.
Lucile E. Greene
Lucile E. Greene was an American writer and activist known for her work in civil rights and social justice.
-
D.
Dorothy C. Cressman
Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
-
E.
Marjorie Hewitt Suchocki
Marjorie Hewitt Suchocki is an American theologian known for her influential work in process theology, feminist theology, and constructive Christian doctrine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ruth Friendly Triple: [Fred Friendly, spouse, Ruth Friendly]
Generated description
Ruth Friendly was the wife of pioneering American broadcast journalist Fred Friendly and was known for her involvement in media and public affairs circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruth Friendly Target entity description: Ruth Friendly was the wife of pioneering American broadcast journalist Fred Friendly and was known for her involvement in media and public affairs circles.
-
A.
Harriet Zuckerman
Harriet Zuckerman is an American sociologist known for her influential work on the scientific community, including studies of Nobel laureates and the sociology of science.
-
B.
Ruby R. Levitt
Ruby R. Levitt was a Hollywood set decorator known for her work on mid-20th-century American films.
-
C.
Lucile E. Greene
Lucile E. Greene was an American writer and activist known for her work in civil rights and social justice.
-
D.
Dorothy C. Cressman
Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
-
E.
Marjorie Hewitt Suchocki
Marjorie Hewitt Suchocki is an American theologian known for her influential work in process theology, feminist theology, and constructive Christian doctrine.
- F. None of above. chosen
Provenance (5 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fe82d081908b5d41bc5a709de2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe806ef4819095a4dfe104d0bdc8 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf61b2ec81909c0f32613bb91a82 |
completed | May 9, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.