Triple

T18338951
Position Surface form Disambiguated ID Type / Status
Subject Zoe E439347 entity
Predicate appearsIn P795 FINISHED
Object Left 4 Dead NE NERFINISHED

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: Left 4 Dead | Statement: [Zoe, appearsIn, Left 4 Dead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Left 4 Dead
Context triple: [Zoe, appearsIn, Left 4 Dead]
  • A. Left 4 Dead chosen
    Left 4 Dead is a cooperative first-person shooter video game centered on surviving zombie outbreaks through team-based gameplay and dynamic, replayable campaigns.
  • B. Killing Floor
    Killing Floor is a bestselling thriller novel by Lee Child that introduces former military policeman Jack Reacher as he investigates a deadly conspiracy in a small Georgia town.
  • C. Killing Floor
    "Killing Floor" is a classic Chicago blues song by Howlin' Wolf, renowned for its powerful riff and lasting influence on rock and blues music.
  • D. State of Decay
    State of Decay is a "Doctor Who" serial written by Terrance Dicks that blends science fiction with gothic vampire horror on a distant, technologically regressed planet.
  • E. Seven Days to Live
    Seven Days to Live is a 2000 psychological horror-thriller film in which a grieving couple experiences terrifying supernatural events after moving to a remote countryside house.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed07db48190a15e957c96b1c5bf completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.