Triple
T3250423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiss |
E68163
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Weisz |
E230290
|
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: Weisz | Statement: [Weiss, hasVariant, Weisz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weisz Context triple: [Weiss, hasVariant, Weisz]
-
A.
Weitz
Weitz is a surname most prominently associated with American filmmakers Chris and Paul Weitz, known for movies such as "American Pie" and "About a Boy."
-
B.
Ryan Warsofsky
Ryan Warsofsky is an American professional ice hockey coach who serves as the head coach of the NHL’s San Jose Sharks.
-
C.
George Weisz
chosen
George Weisz was a Hungarian-born inventor and mechanical engineer best known as the father of Academy Award–winning actress Rachel Weisz.
-
D.
Mischa Spoliansky
Mischa Spoliansky was a Russian-born British composer best known for his film scores and cabaret music in early- to mid-20th-century Europe.
-
E.
Robert Kazinsky
Robert Kazinsky is a British actor best known for his roles in the TV series "EastEnders" and "True Blood," as well as in films such as "Pacific Rim" and "Warcraft."
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf40f7908190a450c3136fccb020 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2776934108190ac405ba5ebd47084 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:09 p.m.