Triple
T1917052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E40040
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Lisbeth
Lisbeth is a feminine given name, typically used as a shortened or variant form of Elizabeth.
|
E214703
|
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: Lisbeth | Statement: [Elizabeth, hasVariant, Lisbeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisbeth Context triple: [Elizabeth, hasVariant, Lisbeth]
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Katarina Frostenson
Katarina Frostenson is a Swedish poet, writer, and former member of the Swedish Academy known for her influential and experimental contributions to contemporary Swedish literature.
-
C.
Kristin
Kristin is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway.
-
D.
Hanna Lejonqvist
Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Lysbeth Reyniersdr
Lysbeth Reyniersdr was the wife of Dutch Golden Age painter Frans Hals, known primarily through her association with his life and work in Haarlem.
- 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: Lisbeth Triple: [Elizabeth, hasVariant, Lisbeth]
Generated description
Lisbeth is a feminine given name, typically used as a shortened or variant form of Elizabeth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisbeth Target entity description: Lisbeth is a feminine given name, typically used as a shortened or variant form of Elizabeth.
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Katarina Frostenson
Katarina Frostenson is a Swedish poet, writer, and former member of the Swedish Academy known for her influential and experimental contributions to contemporary Swedish literature.
-
C.
Kristin
Kristin is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway.
-
D.
Hanna Lejonqvist
Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Lysbeth Reyniersdr
Lysbeth Reyniersdr was the wife of Dutch Golden Age painter Frans Hals, known primarily through her association with his life and work in Haarlem.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb20f54848190b9457e1231aa49db |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3dcc288819096855351a0e69069 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf471909881909de20d9d1fa0b372 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf50b17a081909b93ad3e08c71772 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.