Triple

T24162888
Position Surface form Disambiguated ID Type / Status
Subject The Demolished Man E598890 entity
Predicate mainCharacter P1183 FINISHED
Object Lincoln Powell
Lincoln Powell is the telepathic police prefect and central protagonist of Alfred Bester’s science fiction novel "The Demolished Man," known for using his psychic abilities to solve a seemingly impossible murder.
E1631191 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: Lincoln Powell | Statement: [The Demolished Man, mainCharacter, Lincoln Powell]
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: Lincoln Powell
Triple: [The Demolished Man, mainCharacter, Lincoln Powell]
Generated description
Lincoln Powell is the telepathic police prefect and central protagonist of Alfred Bester’s science fiction novel "The Demolished Man," known for using his psychic abilities to solve a seemingly impossible murder.

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_69e288cb0a3081909ef221744f274384 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e1741e3c8190970cc2275941be38 completed April 29, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd63d405081908e11eec5833fe9f1 completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd7f84a908190a128494e4b442ada completed May 22, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8d0f6848190a77aff96b4fbcc3d completed May 22, 2026, 4:17 a.m.
Created at: April 17, 2026, 11:32 p.m.