Triple
T426834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry King |
E9626
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sharon Lepore
Sharon Lepore is known as one of the former wives of famed American television and radio host Larry King.
|
E187704
|
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: Sharon Lepore | Statement: [Larry King, spouse, Sharon Lepore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharon Lepore Context triple: [Larry King, spouse, Sharon Lepore]
-
A.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
B.
Sharon Black
Sharon Black is a notable individual whose achievements or public presence have made the surname Black recognizable in her context.
-
C.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
D.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
-
E.
Sharon Curry
Sharon Curry is the wife of Michael Bruce Curry, the Presiding Bishop of the Episcopal Church in the United States.
- 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: Sharon Lepore Triple: [Larry King, spouse, Sharon Lepore]
Generated description
Sharon Lepore is known as one of the former wives of famed American television and radio host Larry King.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharon Lepore Target entity description: Sharon Lepore is known as one of the former wives of famed American television and radio host Larry King.
-
A.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
B.
Sharon Black
Sharon Black is a notable individual whose achievements or public presence have made the surname Black recognizable in her context.
-
C.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
D.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
-
E.
Sharon Curry
Sharon Curry is the wife of Michael Bruce Curry, the Presiding Bishop of the Episcopal Church in the United States.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed691c4819092b7e57306114bbc |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67df44a48190a756e3b27420e2ff |
completed | March 8, 2026, 12:13 p.m. |
| NEDg | Description generation | batch_69ad68edbd2c819090c6556966eb279a |
completed | March 8, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad69724c9c8190a2314a8f30f18f7d |
completed | March 8, 2026, 12:20 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.