Triple
T16745744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanne-Lore Behrens |
E406946
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Hanne-Lore
Hanne-Lore is a feminine given name of German origin, typically used as a compound form combining elements like "Hanne" and "Lore."
|
E1232348
|
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: Hanne-Lore | Statement: [Hanne-Lore Behrens, hasGivenName, Hanne-Lore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanne-Lore Context triple: [Hanne-Lore Behrens, hasGivenName, Hanne-Lore]
-
A.
Hanne
Hanne is the birth name of Anna Karina, the acclaimed Danish-French actress and muse of the French New Wave cinema.
-
B.
Hanne
Hanne is a soprano soloist role representing a young country girl in Joseph Haydn’s oratorio "The Seasons."
-
C.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
-
D.
Ottilia
Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
-
E.
Werna Gerhardsen
Werna Gerhardsen was a Norwegian politician and Labour Party activist, best known as the influential wife and political partner of long-serving prime minister Einar Gerhardsen.
- 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: Hanne-Lore Triple: [Hanne-Lore Behrens, hasGivenName, Hanne-Lore]
Generated description
Hanne-Lore is a feminine given name of German origin, typically used as a compound form combining elements like "Hanne" and "Lore."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanne-Lore Target entity description: Hanne-Lore is a feminine given name of German origin, typically used as a compound form combining elements like "Hanne" and "Lore."
-
A.
Hanne
Hanne is a soprano soloist role representing a young country girl in Joseph Haydn’s oratorio "The Seasons."
-
B.
Hanne
Hanne is the birth name of Anna Karina, the acclaimed Danish-French actress and muse of the French New Wave cinema.
-
C.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
-
D.
Ottilia
Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
-
E.
Werna Gerhardsen
Werna Gerhardsen was a Norwegian politician and Labour Party activist, best known as the influential wife and political partner of long-serving prime minister Einar Gerhardsen.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa223aa88190a3c1805ece7317e2 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52033748190ae207d72d437236b |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a685753881908c3fef10823ce569 |
completed | May 10, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a7174f5c8190891ddd180c50aee3 |
completed | May 10, 2026, 3:41 p.m. |
Created at: April 10, 2026, 5:21 a.m.