Triple
T9212675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Shelton-Colby |
E221163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shelton-Colby
Shelton-Colby is the hyphenated surname associated with American diplomat and public servant Sally Shelton-Colby.
|
E785418
|
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: Shelton-Colby | Statement: [Sally Shelton-Colby, familyName, Shelton-Colby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelton-Colby Context triple: [Sally Shelton-Colby, familyName, Shelton-Colby]
-
A.
Shattuck
Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
-
B.
Grinnell
Grinnell is a Johnson Controls brand known for its fire protection and mechanical piping products and systems.
-
C.
Eagle Vista
The Eagle Vista was a compact car sold in the late 1980s under Chrysler’s Eagle brand, essentially a rebadged version of a Mitsubishi-designed model for the North American market.
-
D.
Spahr
Spahr is a surname and variant of the German family name Speer, historically associated with German-speaking regions.
-
E.
Crossfield
Crossfield is a surname most notably associated with Scott Crossfield, a pioneering American test pilot and aeronautical engineer.
- 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: Shelton-Colby Triple: [Sally Shelton-Colby, familyName, Shelton-Colby]
Generated description
Shelton-Colby is the hyphenated surname associated with American diplomat and public servant Sally Shelton-Colby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shelton-Colby Target entity description: Shelton-Colby is the hyphenated surname associated with American diplomat and public servant Sally Shelton-Colby.
-
A.
Shattuck
Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
-
B.
Grinnell
Grinnell is a Johnson Controls brand known for its fire protection and mechanical piping products and systems.
-
C.
Eagle Vista
The Eagle Vista was a compact car sold in the late 1980s under Chrysler’s Eagle brand, essentially a rebadged version of a Mitsubishi-designed model for the North American market.
-
D.
Spahr
Spahr is a surname and variant of the German family name Speer, historically associated with German-speaking regions.
-
E.
Crossfield
Crossfield is a surname most notably associated with Scott Crossfield, a pioneering American test pilot and aeronautical engineer.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda05406081909893bec3a092d3ce |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0660839f88190afdfb8bc2d710fc3 |
completed | April 4, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69d06770ccf08190b00bf35c16a80071 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d06864b8c48190b8e08ab9c1c85c9a |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:27 p.m.