Triple

T20178105
Position Surface form Disambiguated ID Type / Status
Subject Goosebumps E492651 entity
Predicate notableVillain P32100 FINISHED
Object Monster Blood 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: Monster Blood | Statement: [Goosebumps, notableVillain, Monster Blood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monster Blood
Context triple: [Goosebumps, notableVillain, Monster Blood]
  • A. Monster Blood chosen
    Monster Blood is a recurring supernatural green slime from the Goosebumps series that causes uncontrollable growth and chaos wherever it appears.
  • B. Blood of the Dead
    Blood of the Dead is a Zombies mode map in Call of Duty: Black Ops 4 that reimagines and expands upon the classic Mob of the Dead setting on Alcatraz Island with a new storyline and gameplay elements.
  • C. Blooded
    "Blooded" is a track by rapper Lil Wayne from his acclaimed mixtape Da Drought 3, known for its aggressive lyrics and intricate wordplay.
  • D. Blood Harvest
    Blood Harvest is a Doctor Who tie-in novel featuring the Seventh Doctor, written by prolific series author Terrance Dicks.
  • E. Day of Blood
    Day of Blood is an ancient Phrygian and later Roman religious festival marked by intense mourning, self-flagellation, and bloodletting in honor of the dying-and-reborn god Attis.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ed07c8819091bd9ffda237a91c completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.