Triple

T6743202
Position Surface form Disambiguated ID Type / Status
Subject Annelies von Ribbentrop E154139 entity
Predicate givenName P17 FINISHED
Object Annelies
Annelies is a feminine given name of Germanic origin, often considered a variant of Anneliese or a combination of Anna and Liese.
 E322005 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: Annelies | Statement: [Annelies von Ribbentrop, givenName, Annelies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annelies
Context triple: [Annelies von Ribbentrop, givenName, Annelies]
  • A. Annelies
    Annelies is the given first name of Anne Frank, the Jewish diarist whose writings from hiding during the Holocaust became world-famous.
  • B. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • C. Arlette
    Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
  • D. Margarete
    Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
  • E. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • 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: Annelies
Triple: [Annelies von Ribbentrop, givenName, Annelies]
Generated description
Annelies is a feminine given name of Germanic origin, often considered a variant of Anneliese or a combination of Anna and Liese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annelies
Target entity description: Annelies is a feminine given name of Germanic origin, often considered a variant of Anneliese or a combination of Anna and Liese.
  • A. Annelies chosen
    Annelies is the given first name of Anne Frank, the Jewish diarist whose writings from hiding during the Holocaust became world-famous.
  • B. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • C. Arlette
    Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
  • D. Margarete
    Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
  • E. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • F. None of above.

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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b3b1448190a94b4b64f01af14a completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b11b828819084d5a21dde5f1f5b completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bb0714c819094e80a2dfc960c99 completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70c531c48819086adab0c08f64439 completed March 27, 2026, 11:01 p.m.
Created at: March 27, 2026, 2:10 p.m.