Triple

T35280891
Position Surface form Disambiguated ID Type / Status
Subject The Avengers #32 E1018928 entity
Predicate precedesInSeries P11124 FINISHED
Object The Avengers #33
The Avengers #33 is a 1966 Marvel Comics issue of the superhero team series, featuring the Avengers in a Silver Age adventure written by Stan Lee with art by Don Heck.
E2145190 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: The Avengers #33 | Statement: [The Avengers #32, precedesInSeries, The Avengers #33]
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: The Avengers #33
Triple: [The Avengers #32, precedesInSeries, The Avengers #33]
Generated description
The Avengers #33 is a 1966 Marvel Comics issue of the superhero team series, featuring the Avengers in a Silver Age adventure written by Stan Lee with art by Don Heck.

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_69f76de6d39c8190bb11342e4b91ff2b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78fdaeaf88190a6b24a96634ddfe1 completed May 3, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3852d4c56081908bf75207ebb6d6b7 completed June 21, 2026, 9:08 p.m.
NEDg Description generation batch_6a385346d6448190bb9c51d193dc8ba1 completed June 21, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_6a3854314cc4819084070411b245f8cc completed June 21, 2026, 9:14 p.m.
Created at: May 3, 2026, 4:03 p.m.