Triple
T10882716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerdy Troost |
E256965
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Gerhardine
Gerhardine is the given name of Gerdy Troost, a German architect and interior designer known for her close professional association with the Nazi regime.
|
E890490
|
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: Gerhardine | Statement: [Gerdy Troost, givenName, Gerhardine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerhardine Context triple: [Gerdy Troost, givenName, Gerhardine]
-
A.
Nerissa
Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
-
B.
Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
-
C.
Yvaine
Yvaine is the fallen star and central heroine of Neil Gaiman’s fantasy novel (and its film adaptation) "Stardust," whose journey intertwines magic, romance, and adventure.
-
D.
Kestratherina
Kestratherina is a genus of small silverside fishes native to Australian coastal and freshwater habitats.
-
E.
Allanetta
Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
- 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: Gerhardine Triple: [Gerdy Troost, givenName, Gerhardine]
Generated description
Gerhardine is the given name of Gerdy Troost, a German architect and interior designer known for her close professional association with the Nazi regime.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gerhardine Target entity description: Gerhardine is the given name of Gerdy Troost, a German architect and interior designer known for her close professional association with the Nazi regime.
-
A.
Nerissa
Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
-
B.
Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
-
C.
Yvaine
Yvaine is the fallen star and central heroine of Neil Gaiman’s fantasy novel (and its film adaptation) "Stardust," whose journey intertwines magic, romance, and adventure.
-
D.
Kestratherina
Kestratherina is a genus of small silverside fishes native to Australian coastal and freshwater habitats.
-
E.
Allanetta
Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751db24208190b3a7ed7eea118522 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7e479cc81909fb8510364d6fc0e |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e002709d38819099c4402d30824612 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e005873ba48190b8c24c77611562fa |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.