Triple

T37717604
Position Surface form Disambiguated ID Type / Status
Subject Captain America comics E939497 entity
Predicate hasSpinOff P7226 FINISHED
Object Captain America: Sentinel of Liberty
Captain America: Sentinel of Liberty is a Marvel Comics series that follows Steve Rogers in modern-day adventures, exploring his legacy, ideals, and role as Captain America.
E2245245 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: Captain America: Sentinel of Liberty | Statement: [Captain America comics, hasSpinOff, Captain America: Sentinel of Liberty]
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: Captain America: Sentinel of Liberty
Triple: [Captain America comics, hasSpinOff, Captain America: Sentinel of Liberty]
Generated description
Captain America: Sentinel of Liberty is a Marvel Comics series that follows Steve Rogers in modern-day adventures, exploring his legacy, ideals, and role as Captain America.

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_69f76edc208c8190bc8b9683f75e1024 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae6f049c8190998e723999b6ab96 completed May 6, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40fb6c45d88190910f4bb96c22c90a completed June 28, 2026, 10:46 a.m.
NEDg Description generation batch_6a40fc690fe08190b4ceaadfe93be2a3 completed June 28, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a40fce18ec08190946c064d27fcf5ad completed June 28, 2026, 10:52 a.m.
Created at: May 3, 2026, 4:18 p.m.