Triple
T19733292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Báthory |
E473908
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Catherine Telegdi |
—
|
NE NERFINISHED |
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: [Christopher Báthory, mother, Catherine Telegdi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Telegdi Context triple: [Christopher 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.
Dorothy Neumann
Dorothy Neumann was an American character actress known for her numerous supporting roles in mid-20th-century films and television.
-
C.
Joan Sekler
Joan Sekler is a filmmaker and activist best known for directing the documentary about Los Angeles's Bus Riders Union and its fight for transit justice.
-
D.
Margaret Rudman
Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
-
E.
Helen Morgendorffer
Helen Morgendorffer is the career-driven, sharp-tongued mother of Daria Morgendorffer in the animated TV series "Daria."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.