Triple
T7382103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren E. Burger |
E170281
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Vera D. Burger |
E170281
|
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: Vera D. Burger | Statement: [Warren E. Burger, spouse, Vera D. Burger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera D. Burger Context triple: [Warren E. Burger, spouse, Vera D. Burger]
-
A.
Vera D. Burger
chosen
Vera D. Burger was the wife of Warren E. Burger, the 15th Chief Justice of the United States.
-
B.
Dolores H. Russ
Dolores H. Russ was an American philanthropist and co-namesake of the prestigious Fritz J. and Dolores H. Russ Prize in engineering.
-
C.
Margaret C. Etter
Margaret C. Etter was an influential American chemist and crystallographer known for pioneering work in hydrogen bonding and crystal engineering.
-
D.
Margaret Fink
Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
-
E.
Sylvia Straus
Sylvia Straus was a concert pianist and music educator best known as the wife and intellectual partner of Jewish theologian Abraham Joshua Heschel.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c9a3c48190972126c19aa31dca |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802db77988190aacc4e2f9cbb0bb3 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.