Triple

T37770123
Position Surface form Disambiguated ID Type / Status
Subject Bastion E941522 entity
Predicate firstAppearance P795 FINISHED
Object X-Men vol. 2 #52
X-Men vol. 2 #52 is a 1990s issue of Marvel’s X-Men comic series notable for introducing the major mutant-opposing villain Bastion.
 E2246885 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: X-Men vol. 2 #52 | Statement: [Bastion, firstAppearance, X-Men vol. 2 #52]
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: X-Men vol. 2 #52
Triple: [Bastion, firstAppearance, X-Men vol. 2 #52]
Generated description
X-Men vol. 2 #52 is a 1990s issue of Marvel’s X-Men comic series notable for introducing the major mutant-opposing villain Bastion.

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_69f76ee4431881908f87e8892a9f39f3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbaf1d1db481909df74c152c53ec10 completed May 6, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41040e4b4881908500146be6aa3e73 completed June 28, 2026, 11:22 a.m.
NEDg Description generation batch_6a4104e29abc8190826d9ac7d1dbe4c9 completed June 28, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_6a4106277e448190bf31165fd8f64020 completed June 28, 2026, 11:31 a.m.
Created at: May 3, 2026, 4:19 p.m.