Triple
T12846678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Rosenblum |
E307193
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object |
Robert Karen
Robert Karen is an American psychologist and author known for his influential writings on attachment theory and emotional development.
|
E1007065
|
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: Robert Karen | Statement: [Ralph Rosenblum, coAuthorWith, Robert Karen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Karen Context triple: [Ralph Rosenblum, coAuthorWith, Robert Karen]
-
A.
Eric Brooks
Eric Brooks is the human-vampire hybrid vampire hunter better known as the Marvel Comics character Blade.
-
B.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
-
C.
Ed Kurtz
Ed Kurtz is an American public administrator who served as an emergency manager in Flint, Michigan during the city's state-appointed financial oversight period.
-
D.
Alan Ford
Alan Ford is a British character actor best known for his tough-guy and gangster roles in films by director Guy Ritchie.
-
E.
Nick Meyer
Nick Meyer is a film executive and producer known for his work on major studio projects, including the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
- 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: Robert Karen Triple: [Ralph Rosenblum, coAuthorWith, Robert Karen]
Generated description
Robert Karen is an American psychologist and author known for his influential writings on attachment theory and emotional development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Karen Target entity description: Robert Karen is an American psychologist and author known for his influential writings on attachment theory and emotional development.
-
A.
Eric Brooks
Eric Brooks is the human-vampire hybrid vampire hunter better known as the Marvel Comics character Blade.
-
B.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
-
C.
Ed Kurtz
Ed Kurtz is an American public administrator who served as an emergency manager in Flint, Michigan during the city's state-appointed financial oversight period.
-
D.
Alan Ford
Alan Ford is a British character actor best known for his tough-guy and gangster roles in films by director Guy Ritchie.
-
E.
Nick Meyer
Nick Meyer is a film executive and producer known for his work on major studio projects, including the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba1ef2481909bcf68a698afd3c6 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69dad1f9c8190b48c40f49dbd396d |
completed | May 3, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69e5fd19c819082f9fe0d26c56c9a |
completed | May 3, 2026, 1:01 a.m. |
Created at: April 9, 2026, 5:36 p.m.