Triple

T20162205
Position Surface form Disambiguated ID Type / Status
Subject National Conservatory of Music of America E491736 entity
Predicate hasNotableFaculty P141 FINISHED
Object Henry T. Finck
Henry T. Finck was an American music critic and writer known for his influential reviews and essays on classical music and aesthetics in the late 19th and early 20th centuries.
 E2286206 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: Henry T. Finck | Statement: [National Conservatory of Music of America, hasNotableFaculty, Henry T. Finck]
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: Henry T. Finck
Triple: [National Conservatory of Music of America, hasNotableFaculty, Henry T. Finck]
Generated description
Henry T. Finck was an American music critic and writer known for his influential reviews and essays on classical music and aesthetics in the late 19th and early 20th centuries.

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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e505888190a05e26a3c5a0ede1 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4657384bb08190858a8ca0240d63e2 completed July 2, 2026, 12:19 p.m.
NEDg Description generation batch_6a46582a04f0819097549c340ee9669a completed July 2, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a465c7914e88190bf42bd5eb33562be completed July 2, 2026, 12:41 p.m.
Created at: April 11, 2026, 11:34 p.m.