Triple
T12655931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Tussaud |
E302282
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grosholtz
Grosholtz is the original family surname of famed wax sculptor Marie Tussaud, used before she became widely known under her married name.
|
E995305
|
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: Grosholtz | Statement: [Marie Tussaud, familyName, Grosholtz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grosholtz Context triple: [Marie Tussaud, familyName, Grosholtz]
-
A.
Rothkowitz
Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
-
B.
Levshitz
Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
-
C.
Grinevsky
Grinevsky is the original surname of Russian writer Alexander Grin, known for his romantic and adventure fiction.
-
D.
Joffe
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
-
E.
Orlovsky
Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
- 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: Grosholtz Triple: [Marie Tussaud, familyName, Grosholtz]
Generated description
Grosholtz is the original family surname of famed wax sculptor Marie Tussaud, used before she became widely known under her married name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grosholtz Target entity description: Grosholtz is the original family surname of famed wax sculptor Marie Tussaud, used before she became widely known under her married name.
-
A.
Rothkowitz
Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
-
B.
Levshitz
Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
-
C.
Grinevsky
Grinevsky is the original surname of Russian writer Alexander Grin, known for his romantic and adventure fiction.
-
D.
Joffe
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
-
E.
Orlovsky
Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961620b188190a8a8569f1133a9cf |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668832c7081909eb75429efba493e |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6697e3a688190abd025df1112feba |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a9230608190bfe99290ca1679fa |
completed | May 2, 2026, 9:20 p.m. |
Created at: April 9, 2026, 5:18 p.m.