Triple

T21995385
Position Surface form Disambiguated ID Type / Status
Subject Li Jingliang E543191 entity
Predicate hasNotableWinOver P56419 FINISHED
Object David Zawada
David Zawada is a German mixed martial artist and UFC veteran known for his striking skills and competitive bouts in the welterweight division.
 E1513963 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: David Zawada | Statement: [Li Jingliang, hasNotableWinOver, David Zawada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Zawada
Context triple: [Li Jingliang, hasNotableWinOver, David Zawada]
  • A. John Zaremba
    John Zaremba was an American character actor known for his frequent roles in 1950s–1960s science fiction films and television series.
  • B. Doug Zembiec
    Doug Zembiec was a highly decorated U.S. Marine Corps officer, known as the “Lion of Fallujah,” who was posthumously honored for his extraordinary bravery and leadership in combat.
  • C. Michael Kuzak
    Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
  • D. Mark Czyzewski
    Mark Czyzewski is an editor known for his work on the film "Greyhound."
  • E. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • 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: David Zawada
Triple: [Li Jingliang, hasNotableWinOver, David Zawada]
Generated description
David Zawada is a German mixed martial artist and UFC veteran known for his striking skills and competitive bouts in the welterweight division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Zawada
Target entity description: David Zawada is a German mixed martial artist and UFC veteran known for his striking skills and competitive bouts in the welterweight division.
  • A. John Zaremba
    John Zaremba was an American character actor known for his frequent roles in 1950s–1960s science fiction films and television series.
  • B. Doug Zembiec
    Doug Zembiec was a highly decorated U.S. Marine Corps officer, known as the “Lion of Fallujah,” who was posthumously honored for his extraordinary bravery and leadership in combat.
  • C. Michael Kuzak
    Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
  • D. Mark Czyzewski
    Mark Czyzewski is an editor known for his work on the film "Greyhound."
  • E. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276493bc81908567445e901bc3a7 completed April 28, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a736e113881908a97f0a379ab4136 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a745e534881909a681b9f2234afa5 completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7857e6dc819088b592cdff7d4cf3 completed May 18, 2026, 2:24 a.m.
Created at: April 16, 2026, 8:19 p.m.