Triple

T12146846
Position Surface form Disambiguated ID Type / Status
Subject Laura Harris E289346 entity
Predicate appearedIn P795 FINISHED
Object Severed E965494 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: Severed | Statement: [Laura Harris, appearedIn, Severed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Severed
Context triple: [Laura Harris, appearedIn, Severed]
  • A. Severed chosen
    Severed is a 2005 Canadian horror film about a group of people trapped on a logging site after a virus outbreak turns workers into zombies.
  • B. Ravage
    Ravage is a Decepticon spy and attack beast in the Transformers franchise, typically depicted as a stealthy, feline-like robot that specializes in infiltration and reconnaissance.
  • C. Die by the Sword
    Die by the Sword is a 1998 fantasy action-adventure video game known for its innovative, physics-based sword-fighting system that allowed precise control of weapon movements.
  • D. Frenzy
    "Frenzy" is a popular Nigerian Afropop song by artist D'Prince, known for its energetic beat and club-friendly vibe.
  • E. Frenzy
    Frenzy is a Hearthstone keyword that triggers a special effect the first time a minion survives damage.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7e24ac819083e85fb8edb2ed2c completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.