Triple
T17800467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert M. Berdahl |
E444408
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berdahl
Berdahl is a surname most notably associated with Robert M. Berdahl, an American historian and former university administrator.
|
E1287726
|
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: Berdahl | Statement: [Robert M. Berdahl, familyName, Berdahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berdahl Context triple: [Robert M. Berdahl, familyName, Berdahl]
-
A.
Boreanaz
Boreanaz is the surname of American actor and producer David Boreanaz, known for his roles in television series such as "Buffy the Vampire Slayer," "Angel," and "Bones."
-
B.
Daken
Daken is a fictional Marvel Comics antihero and mutant, best known as the son of Wolverine with retractable claws and a complex, morally ambiguous personality.
-
C.
Jeremiah Valeska
Jeremiah Valeska is a major antagonist in the TV series "Gotham," known as one of the show's Joker-inspired villains and the twin brother of Jerome Valeska.
-
D.
Dillahunt
Dillahunt is the surname of American actor Garret Dillahunt, known for his versatile roles in film and television.
-
E.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
- 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: Berdahl Triple: [Robert M. Berdahl, familyName, Berdahl]
Generated description
Berdahl is a surname most notably associated with Robert M. Berdahl, an American historian and former university administrator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berdahl Target entity description: Berdahl is a surname most notably associated with Robert M. Berdahl, an American historian and former university administrator.
-
A.
Boreanaz
Boreanaz is the surname of American actor and producer David Boreanaz, known for his roles in television series such as "Buffy the Vampire Slayer," "Angel," and "Bones."
-
B.
Daken
Daken is a fictional Marvel Comics antihero and mutant, best known as the son of Wolverine with retractable claws and a complex, morally ambiguous personality.
-
C.
Jeremiah Valeska
Jeremiah Valeska is a major antagonist in the TV series "Gotham," known as one of the show's Joker-inspired villains and the twin brother of Jerome Valeska.
-
D.
Dillahunt
Dillahunt is the surname of American actor Garret Dillahunt, known for his versatile roles in film and television.
-
E.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487ff42108190b82ceb4466aa2dff |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f84095f48190985b20bc8f049e5b |
completed | May 12, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a02f9078e088190b2e84f219f7457ed |
completed | May 12, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f98c91a481909739f2a8a681286d |
completed | May 12, 2026, 9:57 a.m. |
Created at: April 10, 2026, 10:13 a.m.