Triple
T13803622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhoda |
E331702
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Martin Morgenstern
Martin Morgenstern is a fictional character appearing in the television series "Rhoda."
|
E1062312
|
NE FINISHED |
How this triple was built (4 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, featuresCharacter, Martin Morgenstern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Morgenstern Context triple: [Rhoda, featuresCharacter, Martin Morgenstern]
-
A.
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.
-
B.
Wilhelm Morgenstern
Wilhelm Morgenstern was the father of the German poet and humorist Christian Morgenstern.
-
C.
Christian Morgenstern
Christian Morgenstern was a German poet and writer best known for his humorous and absurdist verse, particularly the collection "Galgenlieder" ("Gallows Songs").
-
D.
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.
-
E.
Hal Morgenstern
Hal Morgenstern is an American epidemiologist known for his contributions to cancer epidemiology and methods in observational study design.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martin Morgenstern Triple: [Rhoda, featuresCharacter, Martin Morgenstern]
Generated description
Martin Morgenstern is a fictional character appearing in the television series "Rhoda."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Morgenstern Target entity description: Martin Morgenstern is a fictional character appearing in the television series "Rhoda."
-
A.
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.
-
B.
Wilhelm Morgenstern
Wilhelm Morgenstern was the father of the German poet and humorist Christian Morgenstern.
-
C.
Christian Morgenstern
Christian Morgenstern was a German poet and writer best known for his humorous and absurdist verse, particularly the collection "Galgenlieder" ("Gallows Songs").
-
D.
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.
-
E.
Hal Morgenstern
Hal Morgenstern is an American epidemiologist known for his contributions to cancer epidemiology and methods in observational study design.
- F. None of above. chosen
Provenance (5 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08bd7c48190bcdf110ccd27c003 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b25c9e5881909d526b38096d6446 |
completed | May 3, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2f1b3848190bc30537d5092ee07 |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 9, 2026, 10:12 p.m.