Triple

T5144162
Position Surface form Disambiguated ID Type / Status
Subject Too Tough to Die E116030 entity
Predicate hasPart P35 FINISHED
Object Danger Zone E488395 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: Danger Zone | Statement: [Too Tough to Die, hasPart, Danger Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danger Zone
Context triple: [Too Tough to Die, hasPart, Danger Zone]
  • A. Danger Zone chosen
    "Danger Zone" is a high-energy rock song by Kenny Loggins, best known as one of the signature tracks from the 1986 film *Top Gun*.
  • B. Let’s Go Crazy
    "Let’s Go Crazy" is a high-energy rock, funk, and pop song by Prince that opens the 1984 film and album "Purple Rain" and is renowned for its iconic guitar solo and sermon-like intro.
  • C. Eye of the Tiger
    "Eye of the Tiger" is a 1982 hard rock anthem by Survivor, best known as the iconic training and fight theme associated with the Rocky film series.
  • D. The Eye of the Tiger
    The Eye of the Tiger is an adventure novel by Wilbur Smith that follows a former soldier-turned-salvage diver drawn into a dangerous quest for a legendary treasure.
  • E. Every Which Way but Loose
    Every Which Way but Loose is a 1978 American action-comedy film starring Clint Eastwood as a trucker and bare-knuckle brawler who travels with his pet orangutan.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78aaeb1881909e1b416ea37a7b6d completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becff0df5881909d247dd3db49f6c2 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:43 p.m.