Triple

T26761006
Position Surface form Disambiguated ID Type / Status
Subject Robotman E674800 entity
Predicate firstAppearance P795 FINISHED
Object My Greatest Adventure #80
My Greatest Adventure #80 is a 1963 DC Comics issue best known for introducing the character Robotman, who would become a key member of the Doom Patrol.
 E1740865 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: My Greatest Adventure #80 | Statement: [Robotman, firstAppearance, My Greatest Adventure #80]
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: My Greatest Adventure #80
Triple: [Robotman, firstAppearance, My Greatest Adventure #80]
Generated description
My Greatest Adventure #80 is a 1963 DC Comics issue best known for introducing the character Robotman, who would become a key member of the Doom Patrol.

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_69eecda6e9dc81908452fab3ba17ed9b completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f618dce4908190b36b6a0323603e3e completed May 2, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12094bda948190967d216e1b8d0a2c completed May 23, 2026, 8:08 p.m.
NEDg Description generation batch_6a1209f1525c8190aa9433a260ca0482 completed May 23, 2026, 8:11 p.m.
NED2 Entity disambiguation (via description) batch_6a120a9a37ec8190ba4b6bdef82cb1e0 completed May 23, 2026, 8:14 p.m.
Created at: April 27, 2026, 3:58 a.m.