Triple
T3994684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blansky's Beauties |
E87071
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Lynda Goodfriend
Lynda Goodfriend is an American actress best known for her role as Lori Beth Cunningham on the classic television sitcom "Happy Days."
|
E439371
|
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: Lynda Goodfriend | Statement: [Blansky's Beauties, starred, Lynda Goodfriend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynda Goodfriend Context triple: [Blansky's Beauties, starred, Lynda Goodfriend]
-
A.
Rosemary Woodruff
Rosemary Woodruff was an American counterculture figure and activist best known for her involvement in the 1960s psychedelic movement alongside Timothy Leary.
-
B.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
-
C.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
D.
Meredith Kurtz
Meredith Kurtz is known as the spouse of American film producer Gary Kurtz, who co-produced the original Star Wars films.
-
E.
Lynda Dryden
Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
- 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: Lynda Goodfriend Triple: [Blansky's Beauties, starred, Lynda Goodfriend]
Generated description
Lynda Goodfriend is an American actress best known for her role as Lori Beth Cunningham on the classic television sitcom "Happy Days."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynda Goodfriend Target entity description: Lynda Goodfriend is an American actress best known for her role as Lori Beth Cunningham on the classic television sitcom "Happy Days."
-
A.
Rosemary Woodruff
Rosemary Woodruff was an American counterculture figure and activist best known for her involvement in the 1960s psychedelic movement alongside Timothy Leary.
-
B.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
-
C.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
D.
Meredith Kurtz
Meredith Kurtz is known as the spouse of American film producer Gary Kurtz, who co-produced the original Star Wars films.
-
E.
Lynda Dryden
Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1f0fb88190aafbfdc98bc8652d |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6132b9fd8819080e91ed8a0697df5 |
completed | March 15, 2026, 2:02 a.m. |
| NEDg | Description generation | batch_69b614371b2081909fabb88f2993dd29 |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6155a57c08190bbf2e88f95cede16 |
completed | March 15, 2026, 2:11 a.m. |
Created at: March 9, 2026, 3:34 p.m.