Triple
T7806341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence |
E180561
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Laurenz
Laurenz is a given name and surname, primarily used in German-speaking regions, that is a variant of the name Lawrence.
|
E694396
|
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: Laurenz | Statement: [Lawrence, hasVariantForm, Laurenz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurenz Context triple: [Lawrence, hasVariantForm, Laurenz]
-
A.
Laurenti
Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
-
B.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
C.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
D.
Camillo
Camillo is a loyal Sicilian courtier whose moral integrity and pivotal decisions drive key turns in the plot of the opera "The Winter’s Tale," adapted from Shakespeare’s play.
-
E.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
- 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: Laurenz Triple: [Lawrence, hasVariantForm, Laurenz]
Generated description
Laurenz is a given name and surname, primarily used in German-speaking regions, that is a variant of the name Lawrence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurenz Target entity description: Laurenz is a given name and surname, primarily used in German-speaking regions, that is a variant of the name Lawrence.
-
A.
Laurenti
Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
-
B.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
C.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
D.
Camillo
Camillo is a loyal Sicilian courtier whose moral integrity and pivotal decisions drive key turns in the plot of the opera "The Winter’s Tale," adapted from Shakespeare’s play.
-
E.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf639fba88190a7c117aab19c0b0f |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1450a2408190afe0459086d4480f |
completed | March 31, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_69cb1730900c8190bc0322c4b6a3772f |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a49beb4819090532acabb9391b1 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:35 p.m.