Triple
T6560350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josie Lloyd |
E152565
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Alan Rifkin
Alan Rifkin is a writer and essayist known for his reflective, Southern California–centered nonfiction and fiction.
|
E600243
|
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: Alan Rifkin | Statement: [Josie Lloyd, spouse, Alan Rifkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Rifkin Context triple: [Josie Lloyd, spouse, Alan Rifkin]
-
A.
Jay Rifkin
Jay Rifkin is an American music producer and entrepreneur best known for his collaborations with Hans Zimmer and his work on Disney projects such as The Lion King.
-
B.
Joel Garreau
Joel Garreau is an American journalist and author best known for popularizing the concept of the "edge city" in urban studies.
-
C.
David Reedy
David Reedy was one of the original New York stockbrokers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
-
D.
John Bellamy
John Bellamy was a 17th-century London printer and bookseller known for publishing early accounts of New England, including works related to the Pilgrims.
-
E.
Dan Bornstein
Dan Bornstein is a software engineer best known as the creator and lead architect of Android’s original Dalvik virtual machine.
- 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: Alan Rifkin Triple: [Josie Lloyd, spouse, Alan Rifkin]
Generated description
Alan Rifkin is a writer and essayist known for his reflective, Southern California–centered nonfiction and fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Rifkin Target entity description: Alan Rifkin is a writer and essayist known for his reflective, Southern California–centered nonfiction and fiction.
-
A.
Jay Rifkin
Jay Rifkin is an American music producer and entrepreneur best known for his collaborations with Hans Zimmer and his work on Disney projects such as The Lion King.
-
B.
Joel Garreau
Joel Garreau is an American journalist and author best known for popularizing the concept of the "edge city" in urban studies.
-
C.
David Reedy
David Reedy was one of the original New York stockbrokers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
-
D.
John Bellamy
John Bellamy was a 17th-century London printer and bookseller known for publishing early accounts of New England, including works related to the Pilgrims.
-
E.
Dan Bornstein
Dan Bornstein is a software engineer best known as the creator and lead architect of Android’s original Dalvik virtual machine.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae22442081909bd6e2ba0091c56b |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
| NEDg | Description generation | batch_69c6cd05c54c81908bb612e7976bd10a |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdc3ea7c8190b63e9a19721fea80 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:52 p.m.