Triple

T17099182
Position Surface form Disambiguated ID Type / Status
Subject Sam Morsy E414934 entity
Predicate familyName P18 FINISHED
Object Morsy
Morsy is a surname most notably associated with English professional footballer Sam Morsy, a midfielder who has represented both club sides in England and the Egypt national team.
E1250757 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: Morsy | Statement: [Sam Morsy, familyName, Morsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morsy
Context triple: [Sam Morsy, familyName, Morsy]
  • A. Fekry Rostom
    Fekry Rostom was a film editor known for his work on the classic Egyptian film "The Nightingale's Prayer."
  • B. El Demerdash
    El Demerdash is a metro station in Cairo, Egypt, located on the city's Line 1 and serving the surrounding El Demerdash district.
  • C. Ghanem El Chaar
    Ghanem El Chaar is an entrepreneur and business leader best known as a founder of the semiconductor company Microchip Technology.
  • D. Sawiris
    Sawiris is a prominent Egyptian business family best known for its influential role in construction, telecommunications, and investment through the Orascom group of companies.
  • E. Mohandessin
    Mohandessin is a prominent, upscale district in Giza, Egypt, known for its residential neighborhoods, commercial avenues, and vibrant urban life.
  • 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: Morsy
Triple: [Sam Morsy, familyName, Morsy]
Generated description
Morsy is a surname most notably associated with English professional footballer Sam Morsy, a midfielder who has represented both club sides in England and the Egypt national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morsy
Target entity description: Morsy is a surname most notably associated with English professional footballer Sam Morsy, a midfielder who has represented both club sides in England and the Egypt national team.
  • A. Fekry Rostom
    Fekry Rostom was a film editor known for his work on the classic Egyptian film "The Nightingale's Prayer."
  • B. El Demerdash
    El Demerdash is a metro station in Cairo, Egypt, located on the city's Line 1 and serving the surrounding El Demerdash district.
  • C. Ghanem El Chaar
    Ghanem El Chaar is an entrepreneur and business leader best known as a founder of the semiconductor company Microchip Technology.
  • D. Sawiris
    Sawiris is a prominent Egyptian business family best known for its influential role in construction, telecommunications, and investment through the Orascom group of companies.
  • E. Mohandessin
    Mohandessin is a prominent, upscale district in Giza, Egypt, known for its residential neighborhoods, commercial avenues, and vibrant urban life.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc00880481909cc0dbc169663a41 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fbcbc08190be2a96d03daf0384 completed May 11, 2026, 2:07 a.m.
NEDg Description generation batch_6a013b18645c8190bbf4b7b67e07afaa completed May 11, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a013bb1cde48190aac8aaa55dab68d1 completed May 11, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:35 a.m.