Triple
T22474192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chad Everett |
E555583
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cramton
Cramton is the surname of American actor Chad Everett, best known for his starring role on the television series "Medical Center."
|
E1538557
|
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: Cramton | Statement: [Chad Everett, familyName, Cramton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cramton Context triple: [Chad Everett, familyName, Cramton]
-
A.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Norlane
Norlane is a residential suburb in the northern part of Geelong, Victoria, Australia, known for its post-war housing and proximity to industrial and port areas.
-
D.
Tenneville
Tenneville is a rural municipality in the Ardennes region of southern Belgium, known for its forests and small villages.
-
E.
Kimball
Kimball is a surname of English origin borne by various notable individuals across politics, academia, and the arts.
- 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: Cramton Triple: [Chad Everett, familyName, Cramton]
Generated description
Cramton is the surname of American actor Chad Everett, best known for his starring role on the television series "Medical Center."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cramton Target entity description: Cramton is the surname of American actor Chad Everett, best known for his starring role on the television series "Medical Center."
-
A.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Norlane
Norlane is a residential suburb in the northern part of Geelong, Victoria, Australia, known for its post-war housing and proximity to industrial and port areas.
-
D.
Tenneville
Tenneville is a rural municipality in the Ardennes region of southern Belgium, known for its forests and small villages.
-
E.
Kimball
Kimball is a surname of English origin borne by various notable individuals across politics, academia, and the arts.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b125dda888190a266454969014eb7 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b1388d8a481908d61f578fde9991d |
completed | May 18, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1462413c819086c2de0e62b2648a |
completed | May 18, 2026, 1:30 p.m. |
Created at: April 16, 2026, 8:49 p.m.