Triple
T17965618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janine Melnitz |
E449196
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object |
Melnitz
Melnitz is the surname of Janine Melnitz, the Ghostbusters’ sharp-tongued secretary and recurring character in the Ghostbusters franchise.
|
E1299098
|
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: Melnitz | Statement: [Janine Melnitz, hasSurname, Melnitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melnitz Context triple: [Janine Melnitz, hasSurname, Melnitz]
-
A.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
B.
Schlechtnau
Schlechtnau is a village and local district (Ortsteil) of the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
-
C.
Bunzlau
Bunzlau is the German name for the town of Bolesławiec in southwestern Poland, historically part of Silesia and known for its distinctive pottery.
-
D.
Niedenstein
Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
-
E.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
- 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: Melnitz Triple: [Janine Melnitz, hasSurname, Melnitz]
Generated description
Melnitz is the surname of Janine Melnitz, the Ghostbusters’ sharp-tongued secretary and recurring character in the Ghostbusters franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melnitz Target entity description: Melnitz is the surname of Janine Melnitz, the Ghostbusters’ sharp-tongued secretary and recurring character in the Ghostbusters franchise.
-
A.
Kühnitzsch
Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
B.
Schlechtnau
Schlechtnau is a village and local district (Ortsteil) of the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
-
C.
Bunzlau
Bunzlau is the German name for the town of Bolesławiec in southwestern Poland, historically part of Silesia and known for its distinctive pottery.
-
D.
Niedenstein
Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
-
E.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1380960819089a3c0dd7cd57e5e |
completed | April 19, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0330100f048190aba7448d9891cfdc |
completed | May 12, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a033146fbbc81908c28b8dc53517f53 |
completed | May 12, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0333c5fb888190b73cbd9f032dbc6e |
completed | May 12, 2026, 2:05 p.m. |
Created at: April 10, 2026, 10:22 a.m.