Triple
T12407942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Easterbrook |
E296436
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Easterbrook
Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
|
E980817
|
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: Easterbrook | Statement: [Leslie Easterbrook, familyName, Easterbrook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easterbrook Context triple: [Leslie Easterbrook, familyName, Easterbrook]
-
A.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
B.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
C.
Pangborn
Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
-
D.
Hosbrook
Hosbrook is a family surname, likely of English origin, shared by individuals such as Brenda Hosbrook.
-
E.
Ketcham
Ketcham is a supporting character in the 1970 Western film "Rio Lobo," which stars John Wayne.
- 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: Easterbrook Triple: [Leslie Easterbrook, familyName, Easterbrook]
Generated description
Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Easterbrook Target entity description: Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
-
A.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
B.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
C.
Pangborn
Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
-
D.
Hosbrook
Hosbrook is a family surname, likely of English origin, shared by individuals such as Brenda Hosbrook.
-
E.
Ketcham
Ketcham is a supporting character in the 1970 Western film "Rio Lobo," which stars John Wayne.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4a08e0819085c656e35038e6b2 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63488cac08190a81b2151c827932e |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f635997b088190b6207fcac5594eb2 |
completed | May 2, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d727a08190882eec3fd664b64d |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:55 p.m.