Triple

T6392896
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Podbrożny E143870 entity
Predicate playedFor P2170 FINISHED
Object Aluminium Konin
Aluminium Konin is a Polish football club known for competing in the lower tiers of the national league system.
E590818 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: Aluminium Konin | Statement: [Jerzy Podbrożny, playedFor, Aluminium Konin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aluminium Konin
Context triple: [Jerzy Podbrożny, playedFor, Aluminium Konin]
  • A. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • B. Altinum
    Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
  • C. Mitsubishi Aluminum
    Mitsubishi Aluminum is a Mitsubishi Group company specializing in the production and processing of aluminum materials and related products.
  • D. Bilröst
    Bilröst is an alternate name for Bifröst, the rainbow bridge in Norse mythology that connects the realm of the gods to the world of humans.
  • E. Solidere
    Solidere is a Lebanese real estate company responsible for the post-civil war reconstruction and development of Beirut’s central district.
  • 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: Aluminium Konin
Triple: [Jerzy Podbrożny, playedFor, Aluminium Konin]
Generated description
Aluminium Konin is a Polish football club known for competing in the lower tiers of the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aluminium Konin
Target entity description: Aluminium Konin is a Polish football club known for competing in the lower tiers of the national league system.
  • A. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • B. Altinum
    Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
  • C. Mitsubishi Aluminum
    Mitsubishi Aluminum is a Mitsubishi Group company specializing in the production and processing of aluminum materials and related products.
  • D. Bilröst
    Bilröst is an alternate name for Bifröst, the rainbow bridge in Norse mythology that connects the realm of the gods to the world of humans.
  • E. Solidere
    Solidere is a Lebanese real estate company responsible for the post-civil war reconstruction and development of Beirut’s central district.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:34 p.m.