Triple

T492830
Position Surface form Disambiguated ID Type / Status
Subject Sylvester Stallone E10225 entity
Predicate notableWork P4 FINISHED
Object 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: Rambo | Statement: [Sylvester Stallone, notableWork, Rambo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rambo
Context triple: [Sylvester Stallone, notableWork, Rambo]
  • A. Rambo III
    Rambo III is a 1988 American action film in the Rambo franchise, starring Sylvester Stallone as Vietnam veteran John Rambo on a high-risk rescue mission in Soviet-occupied Afghanistan.
  • B. Rambo: First Blood Part II
    Rambo: First Blood Part II is a 1985 action film sequel that follows Vietnam veteran John Rambo on a mission to rescue American POWs, solidifying the character as an iconic action hero.
  • C. 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.
  • D. First Blood
    First Blood is a 1982 action thriller film that introduced the iconic character John Rambo, a troubled Vietnam War veteran pushed into a violent confrontation with small-town authorities.
  • E. Swat
    Swat is a picturesque valley and administrative district in northern Pakistan, renowned for its lush landscapes, historical Buddhist sites, and role as a major tourist destination in Khyber Pakhtunkhwa.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0faab4881909f65f172198b5bd2 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a485425ef88190b5b3298a853c8b1a completed March 1, 2026, 6:28 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.