Triple
T6601139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karenna Gore |
E149000
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Kristen Gore |
E151524
|
NE FINISHED |
How this triple was built (2 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: Kristen Gore | Statement: [Karenna Gore, sibling, Kristen Gore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristen Gore Context triple: [Karenna Gore, sibling, Kristen Gore]
-
A.
Kristin Gore
chosen
Kristin Gore is an American writer and screenwriter known for her work on television shows like "Futurama" and for being the daughter of former U.S. Vice President Al Gore.
-
B.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
C.
Diana DeGarmo
Diana DeGarmo is an American singer and actress who gained fame as a standout contestant on the third season of the television show American Idol.
-
D.
Analeigh Tipton
Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
-
E.
Carrie MacLemore
Carrie MacLemore is an American actress best known for her role in Whit Stillman’s comedy film "Damsels in Distress."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aef4a7e08190a685a0febc6378c8 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee20e1081908415cb505652b03f |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:56 p.m.