Triple
T14680938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhoda Morgenstern |
E344780
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object | Martin Morgenstern |
E1062312
|
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: Martin Morgenstern | Statement: [Rhoda Morgenstern, hasFather, Martin Morgenstern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Morgenstern Context triple: [Rhoda Morgenstern, hasFather, Martin Morgenstern]
-
A.
Martin Morgenstern
chosen
Martin Morgenstern is a fictional character appearing in the television series "Rhoda."
-
B.
Julian Morgenstern
Julian Morgenstern is a fictional character best known as a powerful and morally ambiguous Shadowhunter antagonist in Cassandra Clare’s The Mortal Instruments series.
-
C.
Wilhelm Morgenstern
Wilhelm Morgenstern was the father of the German poet and humorist Christian Morgenstern.
-
D.
Christian Morgenstern
Christian Morgenstern was a German poet and writer best known for his humorous and absurdist verse, particularly the collection "Galgenlieder" ("Gallows Songs").
-
E.
Hermann Löns
Hermann Löns was a German journalist and writer best known for his nature poetry and prose celebrating the landscapes and folklore of northern Germany.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde180ff0c8190a8b7c7804e36c3f8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.