Triple
T13012343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Delmar |
E322449
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Delmar
Delmar is a surname of likely European origin borne by individuals such as Ethel Delmar.
|
E1015484
|
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: Delmar | Statement: [Ethel Delmar, familyName, Delmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delmar Context triple: [Ethel Delmar, familyName, Delmar]
-
A.
Delmar
Delmar is an educational publishing imprint of Cengage Learning known for its vocational, technical, and professional training materials.
-
B.
Delmar, New York
Delmar, New York is a suburban hamlet in Albany County known for its residential neighborhoods, quality schools, and role as a primary community within the town of Bethlehem.
-
C.
Útica
Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
-
D.
Utica
Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
-
E.
Dewey Point
Dewey Point is a scenic overlook on Yosemite National Park’s south rim, known for its expansive views of Yosemite Valley and iconic granite cliffs.
- 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: Delmar Triple: [Ethel Delmar, familyName, Delmar]
Generated description
Delmar is a surname of likely European origin borne by individuals such as Ethel Delmar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delmar Target entity description: Delmar is a surname of likely European origin borne by individuals such as Ethel Delmar.
-
A.
Delmar
Delmar is an educational publishing imprint of Cengage Learning known for its vocational, technical, and professional training materials.
-
B.
Delmar, New York
Delmar, New York is a suburban hamlet in Albany County known for its residential neighborhoods, quality schools, and role as a primary community within the town of Bethlehem.
-
C.
Útica
Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
-
D.
Utica
Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
-
E.
Dewey Point
Dewey Point is a scenic overlook on Yosemite National Park’s south rim, known for its expansive views of Yosemite Valley and iconic granite cliffs.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c10d5b9881909db688c1ab0e6a77 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c277e6248190870b3bf9869716a7 |
completed | May 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c38bc0b08190b76cb0853d99ad82 |
completed | May 3, 2026, 3:39 a.m. |
Created at: April 9, 2026, 8:49 p.m.