Triple

T26859085
Position Surface form Disambiguated ID Type / Status
Subject The Mephisto Waltz E676276 entity
Predicate cinematography P1953 FINISHED
Object William W. Spencer
William W. Spencer was an American cinematographer known for his work on films and television series, including the horror film "The Mephisto Waltz."
E2287955 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: William W. Spencer | Statement: [The Mephisto Waltz, cinematography, William W. Spencer]
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: William W. Spencer
Triple: [The Mephisto Waltz, cinematography, William W. Spencer]
Generated description
William W. Spencer was an American cinematographer known for his work on films and television series, including the horror film "The Mephisto Waltz."

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_69eee9b9d7708190a15d7485709ae981 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b9a5de88190b91ba255dc74b6fc completed May 2, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5a4bcbc31881909df54dd9b6e0c46f completed July 17, 2026, 3:35 p.m.
NEDg Description generation batch_6a5a4c42419c81908fc7d354d96faefe completed July 17, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_6a5a4d31fe688190872b9e779c88223a completed July 17, 2026, 3:41 p.m.
Created at: April 27, 2026, 5:23 a.m.