Triple

T4306232
Position Surface form Disambiguated ID Type / Status
Subject Michael Biehn E99960 entity
Predicate notableWork P4 FINISHED
Object Planet Terror E73005 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: Planet Terror | Statement: [Michael Biehn, notableWork, Planet Terror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Planet Terror
Context triple: [Michael Biehn, notableWork, Planet Terror]
  • A. Planet Terror chosen
    Planet Terror is a 2007 grindhouse-style zombie action-horror film written and directed by Robert Rodriguez, known for its over-the-top gore, dark humor, and retro exploitation aesthetic.
  • B. Terror Rise
    Terror Rise is a notable geological feature associated with the Scotia Plate in the Southern Ocean region.
  • C. Deimos (Terror)
    Deimos (Terror) is the Greek personification of dread and terror, often depicted accompanying the war god Ares into battle.
  • D. Terror Twilight
    Terror Twilight is the fifth and final studio album by American indie rock band Pavement, noted for its more polished production and introspective tone.
  • E. Invisible Terror
    "Invisible Terror" is an episode of the 1939 science-fiction movie serial *The Phantom Creeps*, featuring Bela Lugosi as a mad scientist wielding bizarre inventions.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350ba57ec8190afda7d8318e5d2d0 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75382848190a4f2141a72e3fb3a completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:09 p.m.