Triple
T14970236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Campbell |
E373296
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sarah Barg
Sarah Barg is an American woman best known for being the former wife of country music star Glen Campbell.
|
E1134156
|
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: Sarah Barg | Statement: [Glen Campbell, spouse, Sarah Barg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Barg Context triple: [Glen Campbell, spouse, Sarah Barg]
-
A.
Sarah Barcant
Sarah Barcant is the determined lawyer protagonist in Gillian Slovo’s novel "Red Dust," who returns to her South African hometown to confront buried truths from the apartheid era.
-
B.
Sarah Burns
Sarah Burns is a woman known primarily as a sibling of Francis Wallace Burns, the son of Scottish poet Robert Burns.
-
C.
Sarah Burns
Sarah Burns is an American actress and comedian known for her work in television and film, including her role in the HBO series "Enlightened."
-
D.
Sarah Burns
Sarah Burns is an American documentary filmmaker and writer, known for co-directing films such as "The Central Park Five" and collaborating frequently with her father, Ken Burns.
-
E.
Kate Sacker
Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
- 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: Sarah Barg Triple: [Glen Campbell, spouse, Sarah Barg]
Generated description
Sarah Barg is an American woman best known for being the former wife of country music star Glen Campbell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Barg Target entity description: Sarah Barg is an American woman best known for being the former wife of country music star Glen Campbell.
-
A.
Sarah Barcant
Sarah Barcant is the determined lawyer protagonist in Gillian Slovo’s novel "Red Dust," who returns to her South African hometown to confront buried truths from the apartheid era.
-
B.
Sarah Burns
Sarah Burns is an American actress and comedian known for her work in television and film, including her role in the HBO series "Enlightened."
-
C.
Sarah Burns
Sarah Burns is a woman known primarily as a sibling of Francis Wallace Burns, the son of Scottish poet Robert Burns.
-
D.
Sarah Burns
Sarah Burns is an American documentary filmmaker and writer, known for co-directing films such as "The Central Park Five" and collaborating frequently with her father, Ken Burns.
-
E.
Kate Sacker
Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dc4715c81908b4745996d660f7c |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fea187f1c48190aebe8789f47af226 |
completed | May 9, 2026, 2:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea1e618808190bfe0816fd86cf59b |
completed | May 9, 2026, 2:54 a.m. |
Created at: April 10, 2026, 2:49 a.m.