Triple
T1310952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Gore Jr. |
E27987
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Karenna Gore
Karenna Gore is an American lawyer, author, and environmental activist who is the daughter of former U.S. Vice President Al Gore and focuses on climate justice and ethics.
|
E149000
|
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: Karenna Gore | Statement: [Albert Gore Jr., child, Karenna Gore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karenna Gore Context triple: [Albert Gore Jr., child, Karenna Gore]
-
A.
Katrina Maley Wheeler
Katrina Maley Wheeler is the wife of Portland, Oregon politician and former mayor Ted Wheeler.
-
B.
Leona Woods
Leona Woods was an American physicist who, as one of the few women on the Manhattan Project, played a key role in the development and operation of the first nuclear reactor.
-
C.
Kelly
Kelly is the middle name of Richmond K. Turner, a prominent admiral in the United States Navy during World War II.
-
D.
Kelly
Kelly is a common Irish-origin surname widely used in English-speaking countries.
-
E.
Elissa Leonard
Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
- 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: Karenna Gore Triple: [Albert Gore Jr., child, Karenna Gore]
Generated description
Karenna Gore is an American lawyer, author, and environmental activist who is the daughter of former U.S. Vice President Al Gore and focuses on climate justice and ethics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karenna Gore Target entity description: Karenna Gore is an American lawyer, author, and environmental activist who is the daughter of former U.S. Vice President Al Gore and focuses on climate justice and ethics.
-
A.
Katrina Maley Wheeler
Katrina Maley Wheeler is the wife of Portland, Oregon politician and former mayor Ted Wheeler.
-
B.
Leona Woods
Leona Woods was an American physicist who, as one of the few women on the Manhattan Project, played a key role in the development and operation of the first nuclear reactor.
-
C.
Kelly
Kelly is the middle name of Richmond K. Turner, a prominent admiral in the United States Navy during World War II.
-
D.
Kelly
Kelly is a common Irish-origin surname widely used in English-speaking countries.
-
E.
Elissa Leonard
Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c1560f888190bdd9107b08395e0b |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb30b45708190aaf8c977fef2500c |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb389ab248190b67eb802ed1ac01f |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb423e2948190b3927d2f041b6215 |
completed | March 7, 2026, 11:26 p.m. |
Created at: March 1, 2026, 7:51 p.m.