Triple

T38069683
Position Surface form Disambiguated ID Type / Status
Subject Morg E950560 entity
Predicate firstAppearance P795 FINISHED
Object Silver Surfer Vol. 3 #69
Silver Surfer Vol. 3 #69 is a 1992 Marvel Comics issue notable for introducing the powerful Herald of Galactus known as Morg.
E2255998 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: Silver Surfer Vol. 3 #69 | Statement: [Morg, firstAppearance, Silver Surfer Vol. 3 #69]
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: Silver Surfer Vol. 3 #69
Triple: [Morg, firstAppearance, Silver Surfer Vol. 3 #69]
Generated description
Silver Surfer Vol. 3 #69 is a 1992 Marvel Comics issue notable for introducing the powerful Herald of Galactus known as Morg.

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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbca3cd004819086727f65b3ccec89 completed May 6, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41680621b081909bd915186b557112 completed June 28, 2026, 6:29 p.m.
NEDg Description generation batch_6a41687e23248190bc25a3ef8894e8d6 completed June 28, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_6a416af5ea5c819089a00544c3292ba8 completed June 28, 2026, 6:41 p.m.
Created at: May 3, 2026, 4:21 p.m.