Triple
T12034342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy A. Sandeen |
E286495
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sandeen
Sandeen is a surname most notably associated with Cathy A. Sandeen, an American academic administrator and university leader.
|
E961808
|
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: Sandeen | Statement: [Cathy A. Sandeen, familyName, Sandeen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandeen Context triple: [Cathy A. Sandeen, familyName, Sandeen]
-
A.
Ostrander
Ostrander is a small city located in Fillmore County in southeastern Minnesota, United States.
-
B.
Dunoon
Dunoon is a coastal town and former resort on the Cowal peninsula in Argyll and Bute, western Scotland.
-
C.
Ingonish
Ingonish is a small coastal community on Cape Breton Island in Nova Scotia, Canada, known as a gateway to the Cabot Trail and nearby highland and ocean scenery.
-
D.
Kiloran
Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
-
E.
Seahaven
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
- 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: Sandeen Triple: [Cathy A. Sandeen, familyName, Sandeen]
Generated description
Sandeen is a surname most notably associated with Cathy A. Sandeen, an American academic administrator and university leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandeen Target entity description: Sandeen is a surname most notably associated with Cathy A. Sandeen, an American academic administrator and university leader.
-
A.
Ostrander
Ostrander is a small city located in Fillmore County in southeastern Minnesota, United States.
-
B.
Dunoon
Dunoon is a coastal town and former resort on the Cowal peninsula in Argyll and Bute, western Scotland.
-
C.
Ingonish
Ingonish is a small coastal community on Cape Breton Island in Nova Scotia, Canada, known as a gateway to the Cabot Trail and nearby highland and ocean scenery.
-
D.
Kiloran
Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
-
E.
Seahaven
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040724ec8190808f334013ddc6d6 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d6ec4b8819093ff50254a851444 |
completed | May 1, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69f53d930714819080f92d223d930389 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.