Triple

T1388451
Position Surface form Disambiguated ID Type / Status
Subject Lise Meitner E29899 entity
Predicate givenName P17 FINISHED
Object Elise
Elise is a given name associated with the Austrian-Swedish physicist Lise Meitner, a pioneer in nuclear fission research.
 E164185 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: Elise | Statement: [Lise Meitner, givenName, Elise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elise
Context triple: [Lise Meitner, givenName, Elise]
  • A. Elise Sellas
    Elise Sellas is a free-spirited contemporary ballet dancer whose chance encounters with politician David Norris challenge the fate-controlling powers in the film "The Adjustment Bureau."
  • B. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • C. Elisa
    Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
  • D. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • E. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • 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: Elise
Triple: [Lise Meitner, givenName, Elise]
Generated description
Elise is a given name associated with the Austrian-Swedish physicist Lise Meitner, a pioneer in nuclear fission research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elise
Target entity description: Elise is a given name associated with the Austrian-Swedish physicist Lise Meitner, a pioneer in nuclear fission research.
  • A. Elise Sellas
    Elise Sellas is a free-spirited contemporary ballet dancer whose chance encounters with politician David Norris challenge the fate-controlling powers in the film "The Adjustment Bureau."
  • B. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • C. Elisa
    Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
  • D. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • E. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35ad578819090abf96222112bda completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0153f1648190abd63beadfb6709b completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad01deec588190b33efd988e0db5d2 completed March 8, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad024e077c8190b0ef48ac7042ac5b completed March 8, 2026, 4:59 a.m.
Created at: March 1, 2026, 7:59 p.m.