Triple
T6540468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Lasser |
E168272
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lasser
Lasser is a surname most notably associated with American actress and comedian Louise Lasser.
|
E604187
|
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: Lasser | Statement: [Louise Lasser, familyName, Lasser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasser Context triple: [Louise Lasser, familyName, Lasser]
-
A.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
B.
Delbert
Delbert is a masculine given name of English origin, often used in the United States during the early to mid-20th century.
-
C.
Cody the Coyote
Cody the Coyote is the costumed coyote character who serves as the spirited athletic and campus mascot for California State University, San Bernardino.
-
D.
Jovie
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
-
E.
Roscoe Raider
Roscoe Raider is the costumed mascot representing the Milwaukee School of Engineering’s athletic teams and school spirit.
- 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: Lasser Triple: [Louise Lasser, familyName, Lasser]
Generated description
Lasser is a surname most notably associated with American actress and comedian Louise Lasser.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lasser Target entity description: Lasser is a surname most notably associated with American actress and comedian Louise Lasser.
-
A.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
B.
Delbert
Delbert is a masculine given name of English origin, often used in the United States during the early to mid-20th century.
-
C.
Cody the Coyote
Cody the Coyote is the costumed coyote character who serves as the spirited athletic and campus mascot for California State University, San Bernardino.
-
D.
Jovie
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
-
E.
Roscoe Raider
Roscoe Raider is the costumed mascot representing the Milwaukee School of Engineering’s athletic teams and school spirit.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add7369c8190919cd7c07012a994 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53edf108190b74098b41c143a65 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6aba9688190ada4f921768e314e |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d837a5248190b0afb39174ac3922 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:50 p.m.