Triple

T9264299
Position Surface form Disambiguated ID Type / Status
Subject DOOMS E222656 entity
Predicate heldByFictionalCharacter P62301 FINISHED
Object Cliff Unger E269770 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: Cliff Unger | Statement: [DOOMS, heldByFictionalCharacter, Cliff Unger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cliff Unger
Context triple: [DOOMS, heldByFictionalCharacter, Cliff Unger]
  • A. Cliff Unger chosen
    Cliff Unger is a central character in the video game "Death Stranding," portrayed as a tragic former soldier whose emotional connection to his child drives much of the game's narrative.
  • B. Marty Unger
    Marty Unger is an individual notable enough to be recognized as a prominent bearer of the Unger surname.
  • C. Cliff Anderson
    Cliff Anderson was an American professional basketball player best known for his standout collegiate career at Saint Joseph's University and subsequent time in the NBA during the late 1960s and early 1970s.
  • D. Kurt Unger
    Kurt Unger is a film producer best known for his work on the 1971 drama "The Love Machine," adapted from Jacqueline Susann’s novel.
  • E. Cliff Hagan
    Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0748a1f481909d9d876692cefccc completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0f0c6c81909f97ccc4c09e8072 completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:32 p.m.