Triple
T8781400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Sullivan Roberts |
E208735
|
entity |
| Predicate | isKnownAs |
P39
|
FINISHED |
| Object |
Jane Roberts
Jane Roberts is an American lawyer and legal recruiter best known as the wife of U.S. Chief Justice John Roberts.
|
E757998
|
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: Jane Roberts | Statement: [Jane Sullivan Roberts, isKnownAs, Jane Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Roberts Context triple: [Jane Sullivan Roberts, isKnownAs, Jane Roberts]
-
A.
Bernice Fisher
Bernice Fisher was an American civil rights activist and organizer who helped pioneer nonviolent direct action tactics and co-founded the Congress of Racial Equality.
-
B.
Rosemary Rogers
Rosemary Rogers is an American author and former model best known for her work in fashion and entertainment circles and for her marriage to filmmaker Robert Downey Sr.
-
C.
Mary Jo Keenen
Mary Jo Keenen is an American actress known for her television work in the 1980s and 1990s, including roles on series such as "Nurses" and "City."
-
D.
Rita Rogers
Rita Rogers is an actress known for appearing in the 1971 Western film "The Hired Hand."
-
E.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
- 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: Jane Roberts Triple: [Jane Sullivan Roberts, isKnownAs, Jane Roberts]
Generated description
Jane Roberts is an American lawyer and legal recruiter best known as the wife of U.S. Chief Justice John Roberts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jane Roberts Target entity description: Jane Roberts is an American lawyer and legal recruiter best known as the wife of U.S. Chief Justice John Roberts.
-
A.
Bernice Fisher
Bernice Fisher was an American civil rights activist and organizer who helped pioneer nonviolent direct action tactics and co-founded the Congress of Racial Equality.
-
B.
Rosemary Rogers
Rosemary Rogers is an American author and former model best known for her work in fashion and entertainment circles and for her marriage to filmmaker Robert Downey Sr.
-
C.
Mary Jo Keenen
Mary Jo Keenen is an American actress known for her television work in the 1980s and 1990s, including roles on series such as "Nurses" and "City."
-
D.
Rita Rogers
Rita Rogers is an actress known for appearing in the 1971 Western film "The Hired Hand."
-
E.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f55b7b08190ab3e18cd634a144b |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51df4a608190883a093dbd169976 |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf54d366608190a94797b10389e6ca |
completed | April 3, 2026, 5:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf55940918819088ed8a6ea2f8f460 |
completed | April 3, 2026, 5:52 a.m. |
Created at: March 30, 2026, 6:42 p.m.