Triple

T7835669
Position Surface form Disambiguated ID Type / Status
Subject MLS Golden Boot E181684 entity
Predicate notableWinner P2766 FINISHED
Object Hany Mukhtar E297746 NE FINISHED

How this triple was built (2 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: Hany Mukhtar | Statement: [MLS Golden Boot, notableWinner, Hany Mukhtar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hany Mukhtar
Context triple: [MLS Golden Boot, notableWinner, Hany Mukhtar]
  • A. Hany Mukhtar chosen
    Hany Mukhtar is a German professional soccer player and attacking midfielder known as a star playmaker and MVP-caliber performer for Nashville SC in Major League Soccer.
  • B. Hani Salaam
    Hani Salaam is a high-ranking and sophisticated Jordanian intelligence chief featured in the espionage thriller "Body of Lies."
  • C. Sahel Selim
    Sahel Selim is a city in Egypt’s Asyut Governorate, situated along the Nile in Upper Egypt and serving as a local administrative and commercial center.
  • D. Hassan Aref
    Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
  • E. Khaled Mohieddin
    Khaled Mohieddin was an Egyptian military officer, politician, and prominent leftist figure who played a key role in the 1952 revolution that overthrew the monarchy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064cb7e081909e88419863d94dfe completed March 30, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aa3f75881908e5380b5d8f86ea6 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:46 p.m.