Triple

T31052450
Position Surface form Disambiguated ID Type / Status
Subject Mad Monster Party? (1967 film) E791303 entity
Predicate mainCharacter P1183 FINISHED
Object Baron Boris von Frankenstein
Baron Boris von Frankenstein is the eccentric, elderly master monster-maker and host of the monstrous gathering in the stop-motion animated film "Mad Monster Party?"
E1949536 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: Baron Boris von Frankenstein | Statement: [Mad Monster Party? (1967 film), mainCharacter, Baron Boris von Frankenstein]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Baron Boris von Frankenstein
Triple: [Mad Monster Party? (1967 film), mainCharacter, Baron Boris von Frankenstein]
Generated description
Baron Boris von Frankenstein is the eccentric, elderly master monster-maker and host of the monstrous gathering in the stop-motion animated film "Mad Monster Party?"

Provenance (5 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_69f224cb08908190ba71ad9aa87518ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695414cf08190b904bf07b66d3917 completed May 3, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29470d90b8819093cedb6fe392755b completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a2947e26f408190a9bc961974014450 completed June 10, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a294eea0f148190a57b7ab05b9f0227 completed June 10, 2026, 11:47 a.m.
Created at: April 29, 2026, 9 p.m.