Triple

T37824407
Position Surface form Disambiguated ID Type / Status
Subject Spawn E943011 entity
Predicate imprint P2763 FINISHED
Object Todd McFarlane Productions
Todd McFarlane Productions is an independent entertainment company founded by comic creator Todd McFarlane, best known for producing and managing works related to his character Spawn and other multimedia projects.
E1590559 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: Todd McFarlane Productions | Statement: [Spawn, imprint, Todd McFarlane Productions]
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: Todd McFarlane Productions
Triple: [Spawn, imprint, Todd McFarlane Productions]
Generated description
Todd McFarlane Productions is an independent entertainment company founded by comic creator Todd McFarlane, best known for producing and managing works related to his character Spawn and other multimedia 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_69f76ee987588190906506e759be5db3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb1c837ac8190ab8e212af5de4061 completed May 6, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40f19c3b9c8190889207fd260b6b4a completed June 28, 2026, 10:04 a.m.
NEDg Description generation batch_6a40f23ecbc081909576b02690c2cc92 completed June 28, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a40f2dd54488190b0da6cb656706f54 completed June 28, 2026, 10:09 a.m.
Created at: May 3, 2026, 4:19 p.m.