Triple
T13450930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Báthory |
E320604
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Catherine Telegdi |
E320604
|
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: Catherine Telegdi | Statement: [Stephen Báthory, mother, Catherine Telegdi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Telegdi Context triple: [Stephen Báthory, mother, Catherine Telegdi]
-
A.
Catherine Telegdi
chosen
Catherine Telegdi was a Hungarian noblewoman best known as the mother of Stephen Báthory, the 16th-century Prince of Transylvania and King of Poland.
-
B.
Margaret Rudman
Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
-
C.
Judith Olah
Judith Olah is best known as the wife of Nobel Prize–winning chemist George A. Olah.
-
D.
Constance Frances Marie Ockelman
Constance Frances Marie Ockelman, better known as Veronica Lake, was a popular American film actress of the 1940s famed for her sultry screen presence and iconic peek-a-boo hairstyle.
-
E.
Eileen Heisler
Eileen Heisler is an American television writer and producer best known for co-creating the series Lipstick Jungle and The Middle.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef973b08190a3d7fe1c2a913cff |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462340548190b156a8213f5e2556 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:41 p.m.