Triple

T37676958
Position Surface form Disambiguated ID Type / Status
Subject Celebrity Deathmatch E938121 entity
Predicate creator P184 FINISHED
Object Eric Fogel
Eric Fogel is an American animator, writer, director, and producer best known for creating the satirical claymation series Celebrity Deathmatch and contributing to various animated television projects.
E2287522 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: Eric Fogel | Statement: [Celebrity Deathmatch, creator, Eric Fogel]
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: Eric Fogel
Triple: [Celebrity Deathmatch, creator, Eric Fogel]
Generated description
Eric Fogel is an American animator, writer, director, and producer best known for creating the satirical claymation series Celebrity Deathmatch and contributing to various animated television projects.

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_69f76ed7b1408190ba8c93c53cb8becf completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaa141ff88190a11f54b18a5bb02a completed May 6, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a59f5a7ecf881909d6c7650b36c1bc9 completed July 17, 2026, 9:28 a.m.
NEDg Description generation batch_6a59f618aaf481909199c04845e70e44 completed July 17, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_6a59f66d86e88190a0a9efb7aa940b28 completed July 17, 2026, 9:31 a.m.
Created at: May 3, 2026, 4:18 p.m.