Triple
T16323777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Kluge |
E396362
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Patricia Kluge |
E689778
|
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: Patricia Kluge | Statement: [John Kluge, spouse, Patricia Kluge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Kluge Context triple: [John Kluge, spouse, Patricia Kluge]
-
A.
Patricia Kluge
chosen
Patricia Kluge is an American businesswoman and philanthropist best known for her former marriage to media mogul John Kluge and her high-profile ventures in luxury real estate and winemaking.
-
B.
Barbara Heinzen
Barbara Heinzen was the wife of William Colby, the former Director of Central Intelligence of the United States.
-
C.
Kathleen Snodgrass
Kathleen Snodgrass is known as the spouse of Pulitzer Prize–winning American poet W. D. Snodgrass.
-
D.
Peggy Eisenhauer
Peggy Eisenhauer is a renowned American lighting designer known for her acclaimed work on Broadway productions and collaborations with top theater artists.
-
E.
Diana Liverman
Diana Liverman is a prominent environmental geographer known for her influential research on climate change, vulnerability, and sustainable development.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ab4208190900f21cb4f08f926 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.