Triple
T3761211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tipper Gore |
E82164
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Kristin 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: Kristin Gore | Statement: [Tipper Gore, child, Kristin Gore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristin Gore Context triple: [Tipper Gore, child, Kristin 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.
Krista Harmon
Krista Harmon is a member of the Harmon family, known for her connection to American actress and artist Kristin Harmon.
-
C.
Rachael Yamagata
Rachael Yamagata is an American singer-songwriter and pianist known for her soulful, melancholic indie pop and folk-influenced music.
-
D.
Emily Young
Emily Young is a British film director and screenwriter known for her work on independent and literary adaptation films.
-
E.
Kate Soffel
Kate Soffel is the real-life warden’s wife whose illicit romance with a condemned prisoner inspired the 1984 film "Mrs. Soffel."
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc553a08190ba361675901496ed |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5172abc81909cfa709ea866dc57 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.