Triple

T14510707
Position Surface form Disambiguated ID Type / Status
Subject Sifan Hassan E340387 entity
Predicate givenName P17 FINISHED
Object Sifan
Sifan is a Dutch middle- and long-distance runner of Ethiopian origin known for her world titles and Olympic medals across events from 1500m to the marathon.
 E1102671 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: Sifan | Statement: [Sifan Hassan, givenName, Sifan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sifan
Context triple: [Sifan Hassan, givenName, Sifan]
  • A. Sifra
    Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
  • B. Sanni
    Sanni is an American life coach and entrepreneur best known for her relationship with rock climber Alex Honnold and her appearance in the documentary "Free Solo."
  • C. Saafir
    Saafir is an American West Coast rapper and member of the Hobo Junction crew, known for his complex lyricism and influential role in 1990s underground hip-hop.
  • D. Sundini
    Sundini is a narrow sound in the Faroe Islands that separates the islands of Eysturoy and Streymoy.
  • E. Sifung
    Sifung is a traditional bamboo flute central to the folk music and cultural expression of the Bodo people of Northeast India.
  • 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: Sifan
Triple: [Sifan Hassan, givenName, Sifan]
Generated description
Sifan is a Dutch middle- and long-distance runner of Ethiopian origin known for her world titles and Olympic medals across events from 1500m to the marathon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sifan
Target entity description: Sifan is a Dutch middle- and long-distance runner of Ethiopian origin known for her world titles and Olympic medals across events from 1500m to the marathon.
  • A. Sifra
    Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
  • B. Sanni
    Sanni is an American life coach and entrepreneur best known for her relationship with rock climber Alex Honnold and her appearance in the documentary "Free Solo."
  • C. Saafir
    Saafir is an American West Coast rapper and member of the Hobo Junction crew, known for his complex lyricism and influential role in 1990s underground hip-hop.
  • D. Sundini
    Sundini is a narrow sound in the Faroe Islands that separates the islands of Eysturoy and Streymoy.
  • E. Sifung
    Sifung is a traditional bamboo flute central to the folk music and cultural expression of the Bodo people of Northeast India.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da48b2c8190a906965a7ebcb607 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6f94fd608190bf874869ff15fdf5 completed May 8, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd7041102c8190bc6f3d3011004d7a completed May 8, 2026, 5:10 a.m.
Created at: April 10, 2026, 1:21 a.m.