Triple

T2848844
Position Surface form Disambiguated ID Type / Status
Subject Rambo: Last Blood E63044 entity
Predicate mainCharacter P1183 FINISHED
Object John Rambo E61455 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: John Rambo | Statement: [Rambo: Last Blood, mainCharacter, John Rambo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Rambo
Context triple: [Rambo: Last Blood, mainCharacter, John Rambo]
  • A. John Rambo chosen
    John Rambo is a fictional Vietnam War veteran and highly skilled but troubled combat specialist who became iconic as the central character of the "Rambo" action film series.
  • B. Henry Luttrell
    Henry Luttrell was an Irish Jacobite officer who later defected to the Williamite side during the Williamite War in Ireland and became notorious for his controversial role and subsequent assassination.
  • C. Tommy Atkins
    Tommy Atkins is a widely grown commercial mango cultivar known for its attractive color, long shelf life, and firm, fibrous flesh.
  • D. Marshal Will Kane
    Marshal Will Kane is the principled, embattled lawman at the center of the classic Western film "High Noon," known for facing a deadly showdown alone when his town abandons him.
  • E. Morgan Luttrell
    Morgan Luttrell is a Republican U.S. Representative from Texas and former Navy SEAL who serves in Congress after a career in military and veterans’ advocacy.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf41ac24819087c5b72e3b84117c completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc5101208190acb6e0e9af880a46 completed March 11, 2026, 5:23 a.m.
Created at: March 6, 2026, 10:02 p.m.