Triple

T38416763
Position Surface form Disambiguated ID Type / Status
Subject ecosocialism E903119 entity
Predicate hasTheorist P55473 FINISHED
Object James O'Connor
James O'Connor was an American Marxist political economist and social theorist known for his influential work on the contradictions of capitalism and the development of ecological Marxism.
E2288771 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: James O'Connor | Statement: [ecosocialism, hasTheorist, James O'Connor]
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: James O'Connor
Triple: [ecosocialism, hasTheorist, James O'Connor]
Generated description
James O'Connor was an American Marxist political economist and social theorist known for his influential work on the contradictions of capitalism and the development of ecological Marxism.

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_69f76e67e4fc8190a7d08dfe9a8af998 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd8407008190b8e283fab181e2e4 completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5ada96ed8c81909003b93bec28b82e completed July 18, 2026, 1:44 a.m.
NEDg Description generation batch_6a5adb54b62c8190ac5fdcc5b1a9f695 completed July 18, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a5adbac8e308190937748d2440a26ca completed July 18, 2026, 1:49 a.m.
Created at: May 3, 2026, 4:31 p.m.