Triple

T6906449
Position Surface form Disambiguated ID Type / Status
Subject Manne Siegbahn E159824 entity
Predicate givenName P17 FINISHED
Object Manne
Manne is a given name most notably borne by Swedish physicist Manne Siegbahn, a Nobel laureate recognized for his work in X-ray spectroscopy.
 E626844 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: Manne | Statement: [Manne Siegbahn, givenName, Manne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manne
Context triple: [Manne Siegbahn, givenName, Manne]
  • A. Lucile
    Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
  • B. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • C. Bornette
    Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
  • D. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • E. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • 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: Manne
Triple: [Manne Siegbahn, givenName, Manne]
Generated description
Manne is a given name most notably borne by Swedish physicist Manne Siegbahn, a Nobel laureate recognized for his work in X-ray spectroscopy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manne
Target entity description: Manne is a given name most notably borne by Swedish physicist Manne Siegbahn, a Nobel laureate recognized for his work in X-ray spectroscopy.
  • A. Lucile
    Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
  • B. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • C. Bornette
    Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
  • D. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • E. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98c3ab08190a1830c45578056ac completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748fc81948190aa4ba339e5a9ec6d completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749901de081908e5c3ccd324e8191 completed March 28, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c74a0bcddc819084b22925cf57a205 completed March 28, 2026, 3:24 a.m.
Created at: March 27, 2026, 2:25 p.m.