Triple
T11555271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robbins |
E274002
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ruth Robbins
Ruth Robbins is an academic and author known for her work in literary and cultural studies.
|
E1091142
|
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 Robbins | Statement: [Robbins, hasNotableBearer, Ruth Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Robbins Context triple: [Robbins, hasNotableBearer, Ruth Robbins]
-
A.
Ruth Ellsworth
Ruth Ellsworth is a composer known for creating the musical score for the game Crossfire.
-
B.
Ruth Nelson
Ruth Nelson was an American stage and film actress known for her work with the Group Theatre and roles in classic mid-20th-century films.
-
C.
Lois Robbins
Lois Robbins is an American actress known for her work in television, film, and theater, including roles on soap operas like "One Life to Live" and "All My Children."
-
D.
Ruth Connors
Ruth Connors is a spiritually sensitive teenage girl in Alice Sebold’s novel "The Lovely Bones" who becomes a key medium-like figure connecting the living to the murdered protagonist, Susie Salmon.
-
E.
Ruth McCord
Ruth McCord is known primarily as the wife of James W. McCord Jr., a former CIA officer and key figure in the Watergate scandal.
- 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 Robbins Triple: [Robbins, hasNotableBearer, Ruth Robbins]
Generated description
Ruth Robbins is an academic and author known for her work in literary and cultural studies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruth Robbins Target entity description: Ruth Robbins is an academic and author known for her work in literary and cultural studies.
-
A.
Ruth Ellsworth
Ruth Ellsworth is a composer known for creating the musical score for the game Crossfire.
-
B.
Ruth Nelson
Ruth Nelson was an American stage and film actress known for her work with the Group Theatre and roles in classic mid-20th-century films.
-
C.
Lois Robbins
Lois Robbins is an American actress known for her work in television, film, and theater, including roles on soap operas like "One Life to Live" and "All My Children."
-
D.
Ruth Connors
Ruth Connors is a spiritually sensitive teenage girl in Alice Sebold’s novel "The Lovely Bones" who becomes a key medium-like figure connecting the living to the murdered protagonist, Susie Salmon.
-
E.
Ruth McCord
Ruth McCord is known primarily as the wife of James W. McCord Jr., a former CIA officer and key figure in the Watergate scandal.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a86be308190973fea5d7db8ba9d |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cf630a8819094455fc45a815b83 |
completed | May 8, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69fd3e8a8d9c819097f9f703c9ed9444 |
completed | May 8, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3ef0b7bc819096ff62df4acbefb4 |
completed | May 8, 2026, 1:40 a.m. |
Created at: April 8, 2026, 9:37 p.m.